Publications

453 entries, with my name in bold. See also Google Scholar.

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Edited Books (7) Books (16) Book Chapters (30) Journal Papers (127) Conference Papers (243) Recent Working Papers (30)

Edited Books

  1. [EB1]Q. Zhu, Z. Lu, P. Yu, C. Wang (Eds.), Foundations of Cyber Deception and Their Convergence: Modeling, Analysis, Design, and Human Factors, Springer, 2025. link. DOI
  2. [EB2]C. Kamhoua, A. Kott, N. Leslie, Q. Zhu (Eds.), Autonomous Cyber Resilience, IEEE Press/Wiley, 2025. link. DOI
  3. [EB3]H. Ishii, Q. Zhu (Eds.), Security and Resilience of Control Systems: Theory and Applications, Lecture Notes in Computer Science, Springer, 2021. DOI
  4. [EB4]C. A. Kamhoua, C. Kiekintveld, F. Fang, Q. Zhu (Eds.), Game Theory and Machine Learning for Cyber Security, IEEE Press/Wiley, 2021. DOI
  5. [EB5]C. Rieger, I. Ray, Q. Zhu, M. Haney (Eds.), Industrial Control Systems Security and Resiliency: Practice and Theory, Advances in Information Security, Vol. 75, Springer, 2019. DOI
  6. [EB6]J. Walrand, Q. Zhu, Y. Hayel, T. Jimenez (Eds.), Network Games, Control, and Optimization, Proceedings of International Conference on Network Games, Control, and Optimization (NETGCOOP 2018), New York, NY, USA, Birkhäuser, 2018. link. DOI
  7. [EB7]Q. Zhu, T. Alpcan, E. Panaousis, M. Tambe, W. Casey (Eds.), Proceedings of the 7th International Conference on Decision and Game Theory for Security (GameSec 2016), New York, NY, USA, Nov 2–4, 2016, LNCS 9996, Springer, 2016. link. DOI

Books

  1. [B1]T. Başar and Q. Zhu, Lectures on Static and Dynamic Game Theory: Foundations for Multi-Agent Systems and Control, SIAM Press, to appear, 2027.
  2. [B2]Q. Zhu, J. Chen, and J. Farooq, Game Theory for Security: With Applications to Cyber-Physical Systems, Cambridge University Press, to appear, 2027.
  3. [B3]Y.-T. Yang, L. Huang, and Q. Zhu, Cognitive Security: A Systems Science of Cognitive Defense and Resilience, Springer, 2027.
  4. [B4]T. Li and Q. Zhu, Agentic Learning: Epistemic and Game-Theoretic Foundations, Static & Dynamic Game Theory: Foundations & Applications Series, Birkhäuser, contracted, 2028.
  5. [B5]Q. Zhu, Lectures on Optimization and Optimal Control Theory, SIAM Press, in preparation.
  6. [B6]J. Farooq and Q. Zhu, Cyber Resilience in Next-Generation Networks: Threat Landscape, Theoretical Foundations, and Design Paradigms, Foundations and Trends in Networking, to appear, 2026. arXiv:2512.22721
  7. [B7]L. Huang and Q. Zhu, Cognitive Security: A System Science Approach, SpringerBriefs, 2023. link. DOI
  8. [B8]T. Kieras, J. Farooq, and Q. Zhu, Risk Analysis and Mitigation of IoT Supply Chain Security, SpringerBriefs, 2022. link. DOI
  9. [B9]C. Smidts, I. Ray, Q. Zhu, L. Huang, Y. Zhao, P. Vaddi, and D. M. Kar, Cyber-Security Threats and Response Models in Power Plants, SpringerBriefs, 2022. link. DOI
  10. [B10]Q. Zhu, S. Rass, B. Dieber, and V. M. Vilches, Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice, Foundations and Trends in Robotics, Vol. 9, No. 1, pp. 1–129. DOI
  11. [B11]J. Chen and Q. Zhu, Game and Decision Theoretic Approach to Resilient Interdependent Network Analysis and Design, SpringerBriefs, 2020, ISBN: 978-3-030-23443-0. DOI
  12. [B12]S. Rass, S. Schauer, S. König, and Q. Zhu, Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach, Advanced Sciences and Technologies for Security Applications, Springer, 2021. DOI
  13. [B13]S. Rass, S. Schauer, S. König, and Q. Zhu, Cybersicherheit in kritischen Infrastrukturen: Ein spieltheoretischer Zugang, Springer Vieweg, 2025. DOI
  14. [B14]J. Pawlick and Q. Zhu, Game Theory for Cyber Deception, Static & Dynamic Game Theory: Foundations & Applications Series, Birkhäuser, 2020, ISBN: 978-3-030-66064-2. DOI
  15. [B15]Q. Zhu and Z. Xu, Cross-Layer Design for Secure and Resilient Cyber-Physical Systems—A Decision and Game Theoretic Approach, Advances in Information Security, Springer, 2020, ISBN: 978-3-030-60250-5. DOI
  16. [B16]J. Farooq and Q. Zhu, Resource Management for On-Demand Mission-Critical Internet of Things Applications, John Wiley & Sons, Fall 2021, ISBN: 978-1-119-71612-9. link. DOI

Book Chapters

  1. [BC1]Y.-T. Yang and Q. Zhu, “Game-Theoretic Foundations for Cyber Resilience Against Deceptive Information Attacks in Intelligent Transportation Systems,” in C. Kamhoua, A. Kott, Q. Zhu, and N. Leslie (Eds.), Autonomous Cyber Resilience, IEEE Press/Wiley, pp. 15–52, 2026. DOI
  2. [BC2]N. Gurney, P. Wu, K. Molinaro, F. Jones, B. Schelble, and Q. Zhu, “Modeling Human Behavior in Cybersecurity: Leveraging Structural Equation Modeling to Address Cognitive Biases and Enhance Defense Strategies,” in Q. Zhu, Z. Lu, P. Yu, and C. Wang (Eds.), Foundations of Cyber Deception and Their Convergence, Advances in Information Security, Springer, pp. 155–180, 2026. DOI
  3. [BC3]Y. Ge and Q. Zhu, “Game-Theoretic Frameworks for Zero-Trust Authentication in Autonomous Cyber Resilience,” in C. Kamhoua, A. Kott, Q. Zhu, and N. Leslie (Eds.), Autonomous Cyber Resilience, IEEE Press/Wiley, pp. 105–138, 2026. DOI
  4. [BC4]S. Liu and Q. Zhu, “Cyber Insurance for Cyber Resilience,” in C. Kamhoua, A. Kott, Q. Zhu, and N. Leslie (Eds.), Autonomous Cyber Resilience, IEEE Press/Wiley, pp. 139–182, 2026. DOI
  5. [BC5]Y.-T. Yang, Y. Ge, and Q. Zhu, “Human Risks and Cognition-Inspired Adaptive Cyber Deception,” in Q. Zhu, Z. Lu, P. Yu, and C. Wang (Eds.), Foundations of Cyber Deception and Their Convergence, Advances in Information Security, Springer, pp. 181–200, 2025. DOI
  6. [BC6]Y. Ge and Q. Zhu, “The Game-Theoretic Symbiosis of Trust and AI in Networked Systems,” in Q. Zhu, Z. Lu, P. Yu, and C. Wang (Eds.), Foundations of Cyber Deception and Their Convergence, Advances in Information Security, Springer, pp. 63–89, 2025. DOI
  7. [BC7]T. Li and Q. Zhu, “Symbiotic Game and Foundation Models for Cyber Deception Operations in Strategic Cyber Warfare,” in Q. Zhu, Z. Lu, P. Yu, and C. Wang (Eds.), Foundations of Cyber Deception and Their Convergence: Modeling, Analysis, Design, and Human Factors, Advances in Information Security, Springer, pp. 25–62, 2025. DOI
  8. [BC8]Y. Zhao, C. Rieger, and Q. Zhu, “Multi-Agent Learning for Resilient Distributed Control Systems,” in Power Grid Resilience, Springer Power Electronics and Power Systems Series, 2024. DOI
  9. [BC9]T. Li, Y. Pan, and Q. Zhu, “Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks,” in Y. Chen, J. Wu, P. L. Yu, and C. Wang (Eds.), Network Security Empowered by Artificial Intelligence, Springer, 2023. DOI
  10. [BC10]Q. Zhu, D. Wei, and K. Ji, “Hierarchical Architectures of Resilient Control Systems: Concepts, Metrics and Design Principles,” in P. Cheng, H. Zhang, and J. Chen (Eds.), Cyber Security for Industrial Control Systems: From the Viewpoint of Close-Loop, Springer, pp. 151-178, 2023. DOI
  11. [BC11]J. Chen and Q. Zhu, “A System-of-Systems Approach to Strategic Cyber-Defense and Robust Switching Control Design for Cyber-Physical Wind Energy Systems,” in H. Ishii and Q. Zhu (Eds.), Security and Resilience of Control Systems: Theory and Applications, Lecture Notes in Computer Science, 2021. DOI
  12. [BC12]S. Fang and Q. Zhu, “Fundamental Privacy-Distortion Tradeoffs of State Estimation in Human-Centric Cyber-Physical Systems: An Information-Theoretic Approach,” in M. Abbaszadeh and A. Zemouche (Eds.), Security and Resilience in Cyber-Physical Systems: Estimation and Control, Springer, 2021.
  13. [BC13]Q. Zhu, “Resilient Control Systems,” in C. Rieger (Ed.), Resilient Control Architectures and Power Systems, Wiley-IEEE Press, 2021.
  14. [BC14]R. Zhang and Q. Zhu, “Security of Distributed Machine Learning,” in P. Dasgupta, J. B. Collins, and R. Mittu (Eds.), Adversary-aware Learning Techniques and Trends in Cybersecurity, Springer, 2021. DOI
  15. [BC15]F. Fang, A. Basak, S. Liu, and Q. Zhu, “Introduction to Game Theory and Cyber Security Applications,” in C. A. Kamhoua, C. Kiekintveld, F. Fang, and Q. Zhu (Eds.), Game Theory and Machine Learning for Cyber Security, IEEE Press, 2021. DOI
  16. [BC16]N. Baimukan and Q. Zhu, “Concealment Charm: Automatic Generation of Steganographic Text using Generative Models to Pass Through Censorship and Targeted Ads,” in C. A. Kamhoua, C. Kiekintveld, F. Fang, and Q. Zhu (Eds.), Game Theory and Machine Learning for Cyber Security, IEEE Press, 2021. DOI
  17. [BC17]Y. Huang and Q. Zhu, “Reinforcement Learning with Maliciously Manipulated Feedback,” in C. A. Kamhoua, C. Kiekintveld, F. Fang, and Q. Zhu (Eds.), Game Theory and Machine Learning for Cyber Security, IEEE Press, 2021.
  18. [BC18]L. Huang and Q. Zhu, “Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense,” in S. Jajodia and C. Wang (Eds.), Autonomous Cyber Defense, Springer, 2020. DOI
  19. [BC19]L. Huang and Q. Zhu, “Dynamic Bayesian Games for Adversarial and Defensive Cyber Deception,” in E. Al-Shaer, J. Wei, K. Hamlen, and C. Wang (Eds.), Autonomous Cyber Deception: Reasoning, Adaptive Planning, and Evaluation of HoneyThings, Springer, pp. 75–97, 2019. DOI
  20. [BC20]T. Zhang, L. Huang, J. Pawlick, and Q. Zhu, “Toward a Mechanism Design Theory for Cyber Deception,” in C. A. Kamhoua, L. Njilla, A. Kott, and S. Shetty (Eds.), Modeling and Design of Secure Internet of Things, IEEE Press, 2020. ISBN: 978-1-119-59336-2.
  21. [BC21]Z. Xu and Q. Zhu, “Secure and Resilient Control of IoT-Based 3D Printers,” in C. A. Kamhoua, L. Njilla, A. Kott, and S. Shetty (Eds.), Modeling and Design of Secure Internet of Things, IEEE Press, 2020. ISBN: 978-1-119-59336-2. DOI
  22. [BC22]Q. Zhu, “Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories,” in A. Kott and I. Linkov (Eds.), Cyber Resilience of Systems and Networks, Springer International Publishing, 2019. DOI
  23. [BC23]Q. Zhu, “Multi-Layer Cyber-Physical Security and Resilience for Smart Grid,” in Smart Grid Control: Opportunities and Research Challenges, Springer, 2019. DOI
  24. [BC24]Q. Zhu and S. Rass, “Community-Based Security for the Internet of Things,” in Smart Cities Cybersecurity and Privacy, Elsevier Press, 2018. DOI
  25. [BC25]V. Taynitskiy, E. Gubar, and Q. Zhu, “Optimal Impulse Control of SIR Epidemics over Scale-Free Networks,” in J. Bin Song, H. Li, and M. Coupechoux (Eds.), Game Theory for Networking Applications, EAI/Springer Innovations in Communication and Computing, Springer, 2018. DOI
  26. [BC26]J. B. Song and Q. Zhu, “Performance of Dynamic Secure Routing Game,” in J. Bin Song, H. Li, and M. Coupechoux (Eds.), Game Theory for Networking Applications, EAI/Springer Innovations in Communication and Computing, Springer, 2018. DOI
  27. [BC27]L. Huang, J. Chen, and Q. Zhu, “Factored Markov Game Theory for Secure and Resilient Infrastructure Networks,” in Game Theory for Security Risk Management, Static & Dynamic Game Theory Series, Birkhauser, 2018. DOI.
  28. [BC28]T. Hong, F. De Leon, and Q. Zhu, “Optimal Dispatch of Electric Transmission System Considering Interdependencies with Natural Gas Systems,” in Game Theory for Security Risk Management, Static & Dynamic Game Theory Series, Birkhauser, 2018. DOI
  29. [BC29]Q. Zhu, H. Tembine and T. Başar, “Hybrid learning in stochastic games and its application in network security,” In F. L. Lewis and D. Liu (Eds.), Reinforcement Learning and Approximate Dynamic Programming for Feedback Control, IEEE Press Computational Intelligence Series, 2012. DOI
  30. [BC30]Q. Zhu and T. Başar, “A hierarchical security architecture for smart grid,” In E. Hossain, Z. Han and H. V. Poor (Eds.), Smart Grid Communications and Networking, Cambridge University Press, 2012. DOI

Journal Papers

  1. [J1]Y. Pan, J. Li, L. Xu, S. Sun, and Q. Zhu, “Decentralized No-Regret Frequency-Time Scheduling for FMCW Radar Interference Avoidance,” IEEE Transactions on Aerospace and Electronic Systems, early access, 2026. DOI
  2. [J2]A. T. Nguyen and Q. Zhu, “Detection-Control Games under Hidden Modes: Resilience-Induced Blindness Phenomenon,” IEEE Control Systems Letters, to appear, 2026. arXiv:2606.29080
  3. [J3]Y. Pan and Q. Zhu, “A Games-in-Games Paradigm for Strategic Hybrid Jump-Diffusions: Hamilton-Jacobi-Isaacs Hierarchy and Spectral Structure,” Nonlinear Analysis: Hybrid Systems, to appear, 2026. arXiv:2512.18098
  4. [J4]Q. Zhu, “Neuronic Nash Equilibrium: An EEG Data-Driven Game-Theoretic Framework for BCI-Enabled Multi-Agent Behaviors,” Automation, vol. 7, no. 3, p. 78, 2026. DOI
  5. [J5]Y. Pan, T. Li, and Q. Zhu, “A Unified Variational Design of Predictive Mirror Descent in Convex Games Under Stochastic Feedback,” IEEE Control Systems Letters, vol. 10, pp. 1759–1764, 2026. DOI
  6. [J6]Y.-T. Yang and Q. Zhu, “Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs,” IEEE Control Systems Letters, vol. 10, pp. 1447–1452, 2026. DOI
  7. [J7]B. Beltz, P.-Y. Chen, J. Doty, Y. Fonken, N. Gurney, H.-W. Hsing, S. Hirschmann, B. Israelsen, N. Lau, M. Li, S. Marsella, M. Murray, J. Oh, A. Sliva, K. Srivastava, S. Trent, P. Wu, Y.-T. Yang, and Q. Zhu, “Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis,” Computational Brain & Behavior, pp. 1–24, 2026. DOI
  8. [J8]Z. Pang, J. Zhang, P. Cheng, M. Sha, L. Zhang, Y. Xiang, and Q. Zhu, “Special Issue Editorial: Cyber-Physical Security for Cloud and Fog-Hosted Industrial Cyber-Physical Systems,” IEEE Network, vol. 39, no. 4, pp. 9–11, 2025. DOI
  9. [J9]L. Zhang and Q. Zhu, “ActivityRDI: A Centralized Solution Framework for Activity Retrieval and Detection Intelligence Based on Knowledge Graphs, Large Language Models, and Imbalanced Learning,” Machine Learning and Knowledge Extraction, vol. 8, no. 3, p. 75, 2026. DOI
  10. [J10]T. Alpcan, S.R. Etesami, and Q. Zhu, “Preface to the Special Issue in Honor of Tamer Başar,” Dynamic Games and Applications, pp. 1–11, 2026. DOI
  11. [J11]Y.E. Nugraha, T. Hayakawa, H. Ishii, A. Cetinkaya, and Q. Zhu, “Perfect Bayesian equilibria of two-player games in resilient multiagent systems,” Dynamic Games and Applications, vol. 16, no. 1, pp. 198–219, 2026. DOI
  12. [J12]Y. Pan, T. Li, and Q. Zhu, “Model-Agnostic Hessian-Free Meta-policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective,” Dynamic Games and Applications, vol. 16, no. 1, pp. 386–425, 2026. DOI
  13. [J13]B. Beltz et al., “Guarding against malicious biased threats (GAMBiT) datasets: Revealing cognitive bias in human-subjects red-team cyber range operations,” Data in Brief, p. 112476, 2026. DOI
  14. [J14]Q. Zhu, “TC on Security and Privacy [Technical Activities],” IEEE Control Systems, vol. 45, no. 6, pp. 20–21, 2025. DOI
  15. [J15]J. Jin, Z. Pang, J. Kua, Q. Zhu, K.H. Johansson, N. Marchenko, and D. Cavalcanti, “Guest Editorial: Co-Design of Communication, Computing, and Control in Industrial Cyber-Physical Systems—Part II,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 10, pp. 3262–3265, 2025. DOI
  16. [J16]J. Jin, Z. Pang, J. Kua, Q. Zhu, K.H. Johansson, N. Marchenko, and D. Cavalcanti, “Guest Editorial: Co-Design of Communication, Computing, and Control in Industrial Cyber-Physical Systems—Part I,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 9, pp. 2912–2916, 2025. DOI
  17. [J17]Y. Pan and Q. Zhu, “Extending No-Regret Hopping in FMCW Radar Interference Avoidance,” ACM SIGMETRICS Performance Evaluation Review, vol. 53, no. 2, pp. 131–133, 2025. DOI
  18. [J18]Y.T. Yang, T. Li, and Q. Zhu, “Transparent tagging for strategic social nudges on user-generated misinformation,” IEEE Transactions on Network Science and Engineering, 2025. DOI
  19. [J19]Y.T. Yang, H. Lei, and Q. Zhu, “Prada: Proactive risk assessment and mitigation of misinformed demand attacks on navigational route recommendations,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 1–14, 2025. DOI
  20. [J20]T. Li, Z. Bian, H. Lei, F. Zuo, Y.T. Yang, Q. Zhu, Z. Li, Z. Chen, and K. Ozbay, “Digital Twin-Based Driver Risk-Aware Predictive Mobility Analytics for Real-Time Situational Awareness Through Cooperative Sensing,” IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 1, pp. 20071-20090, 2025. DOI
  21. [J21]K. Hammar, T. Li, R. Stadler, and Q. Zhu, “Adaptive Security Response Strategies Through Conjectural Online Learning,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 1–12, 2025. DOI
  22. [J22]Y.T. Yang, T. Zhang, and Q. Zhu, “Herd Accountability of Privacy-Preserving Algorithms: A Stackelberg Game Approach,” IEEE Transactions on Information Forensics and Security, vol. 20, pp. 1–10, 2025. DOI
  23. [J23]Q. Zhu and T. Başar, “Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary Applications,” IEEE Control Systems Letters, vol. 9, pp. 74-89, 2025. DOI
  24. [J24]J. Jin, Z. Pang, J. Kua, Q. Zhu, K.H. Johansson, N. Marchenko, and D. Cavalcanti, “Cloud-Fog Automation: The New Paradigm Towards Autonomous Industrial Cyber-Physical Systems,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 9, pp. 2917-2937, 2025. DOI
  25. [J25]S. Liu and Q. Zhu, “Mitigating Moral Hazard in Insurance Contracts Using Risk Preference Design,” Operations Research Letters, vol. 53, p. 107322, 2025. DOI
  26. [J26]S. Liu and Q. Zhu, “Stackelberg Risk Preference Design,” Mathematical Programming, vol. 209, no. 1, pp. 785–823, 2025. DOI
  27. [J27]T. Li, H. Lei, H. Guo, M. Yin, Y. Hu, Q. Zhu, and S. Rangan, “Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing with Zero-Shot Reinforcement Learning,” IEEE Open Journal of the Communications Society, vol. 6, pp. 2356-2372, 2025. DOI
  28. [J28]T. Li, Z. Bian, H. Lei, F. Zuo, Y.T. Yang, Q. Zhu, Z. Li, and K. Ozbay, “Multilevel traffic-responsive tilt camera surveillance through predictive correlated online learning,” Transportation Research Part C: Emerging Technologies, vol. 167, p. 104804, 2024. DOI
  29. [J29]V. Adetola, T. Edgar, S.P. Nandanoori, Q. Zhu, C. Rieger, and M. Abbaszadeh, “Guest Editorial: Special section on Resilient Control of Cyber-Physical Power and Energy Systems,” IEEE Transactions on Control Systems Technology, vol. 32, no. 5, pp. 1688–1691, 2024. DOI
  30. [J30]M. Lyu, J. Farooq, and Q. Zhu, “Mapping Cyber Threats in the 5G Supply Chain: Landscape, Vulnerabilities, and Risk Management,” IEEE Network, vol. 39, no. 1, pp. 251-260, 2025. DOI
  31. [J31]M. Abdallah, S. Bagchi, S.D. Bopardikar, K. Chan, X. Gao, M. Kantarcioglu, and Q. Zhu, “Game theory in distributed systems security: Foundations, challenges, and future directions,” IEEE Security & Privacy, vol. 23, no. 1, pp. 64-74, 2025. DOI
  32. [J32]Y. Kim, G. Dan, and Q. Zhu, “Human-in-the-loop cyber intrusion detection using active learning,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 8658-8672, 2024. DOI
  33. [J33]Q. Zhu and T. Başar, “Disentangling resilience from robustness: Contextual dualism, interactionism, and game-theoretic paradigms,” IEEE Control Systems Magazine, vol. 44, no. 3, pp. 95–103, 2024. DOI
  34. [J34]Y. Zhao, J. Chen, and Q. Zhu, “Integrated Cyber-Physical Resiliency for Power Grids Under IoT-Enabled Dynamic Botnet Attacks,” IEEE Transactions on Control Systems Technology, vol. 32, no. 5, pp. 1755-1769, 2024. DOI
  35. [J35]E. Masero, J.M. Maestre, J.R. Salvador, D.R. Ramirez, and Q. Zhu, “Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning,” Journal of Process Control, vol. 132, p. 103109, 2023. DOI
  36. [J36]Y. Ge and Q. Zhu, “Gazeta: Game-theoretic zero-trust authentication for defense against lateral movement in 5G IoT networks,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 540-554, 2024. DOI
  37. [J37]L. Huang and Q. Zhu, “ZETAR: Modeling and computational design of strategic and adaptive compliance policies,” IEEE Transactions on Computational Social Systems, vol. 11, no. 3, pp. 4001-4015, 2024. DOI
  38. [J38]S. Liu, T. Li, and Q. Zhu, “Game-theoretic distributed empirical risk minimization with strategic network design,” IEEE Transactions on Signal and Information Processing over Networks, vol. 9, pp. 542-556, 2023. DOI
  39. [J39]J. Chen, J. Farooq, and Q. Zhu, “QoS-based contract design for profit maximization in IoT-enabled data markets,” IEEE Internet of Things Journal, vol. 10, no. 11, pp. 10080-10094, 2023. DOI
  40. [J40]J. Barreiro-Gomez and Q. Zhu, “Coalitional Stochastic Differential Games for Networks,” IEEE Control Systems Letters, vol. 6, pp. 1300–1305, 2022. DOI
  41. [J41]L. Huang, S. Jia, E. Balcetis, and Q. Zhu, “Advert: An adaptive and data-driven attention enhancement mechanism for phishing prevention,” IEEE Transactions on Information Forensics and Security, vol. 17, pp. 2585–2597, 2022. DOI
  42. [J42]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, and Q. Zhu, “Rolling horizon games of resilient networks with non-uniform horizons,” European Journal of Control, vol. 63, p. 100693, 2022. DOI
  43. [J43]L. Huang and Q. Zhu, “RADAMS: Resilient and adaptive alert and attention management strategy against informational denial-of-service (IDoS) attacks,” Computers & Security, vol. 121, p. 102844, 2022. DOI
  44. [J44]Q. Zhu, E. Gubar, and E. Altman, “Preface to Special Issue on Dynamic Games for Modeling and Control of Epidemics,” Dynamic Games and Applications, vol. 12, pp. 701–706, 2022. DOI
  45. [J45]Q. Zhu and H. Ishii, “Introduction to the Special Section on Learning and Security for Multi-Agent Systems,” Annual Reviews in Control, vol. 54, pp. 1–3, 2022. DOI
  46. [J46]T. Li, Y. Zhao, and Q. Zhu, “The Role of Information Structures in Game-Theoretic Multi-Agent Learning,” Annual Reviews in Control, vol. 54, pp. 4–17, 2022. DOI
  47. [J47]S. Liu, Y. Zhao, and Q. Zhu, “Herd behaviors in epidemics: A dynamics-coupled evolutionary games approach,” Dynamic Games and Applications, vol. 12, pp. 707–737, 2022. DOI
  48. [J48]Y. Huang and Q. Zhu, “Game-Theoretic Frameworks for Epidemic Spreading and Human Decision-Making: A Review,” Dynamic Games and Applications, vol. 12, pp. 738–779, 2022. DOI
  49. [J49]J. Chen and Q. Zhu, “A Cross-Layer Design Approach to Strategic Cyber Defense and Robust Switching Control of Cyber-Physical Wind Energy Systems,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 4, pp. 975–987, 2022. DOI
  50. [J50]R. Zhang and Q. Zhu, “Optimal Cyber-Insurance Contract Design for Dynamic Risk Management and Mitigation,” IEEE Transactions on Computational Social Systems, vol. 9, no. 1, pp. 1–12, 2022. DOI
  51. [J51]L. Huang and Q. Zhu, “Duplicity Games for Deception Design With an Application to Insider Threat Mitigation,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 4843–4856, 2021. DOI
  52. [J52]T. Zhang and Q. Zhu, “On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment,” Dynamic Games and Applications, vol. 12, pp. 701–745, 2022. DOI
  53. [J53]T. Li, G. Peng, Q. Zhu, and T. Başar, “The Confluence of Networks, Games, and Learning: A Game-Theoretic Framework for Multiagent Systems,” IEEE Control Systems Magazine, vol. 42, no. 4, pp. 35–67, 2022. DOI
  54. [J54]J. Chen, C. Touati, and Q. Zhu, “A Dynamic Game Approach to Designing Secure Interdependent IoT-Enabled Infrastructure Network,” IEEE Transactions on Network Science and Engineering, vol. 9, no. 1, pp. 1–12, 2022. DOI
  55. [J55]L. Huang and Q. Zhu, “A Dynamic Game Framework for Rational and Persistent Robot Deception with an Application to Deceptive Pursuit-Evasion,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 4, pp. 975–987, 2022. DOI
  56. [J56]T. Kieras, J. Farooq, and Q. Zhu, “I-SCRAM: A Framework for IoT Supply Chain Risk Analysis and Mitigation Decisions,” IEEE Access, vol. 9, pp. 29827–29840, 2021. DOI
  57. [J57]S. Kapsikar, I. Saha, K. Agarwal, V. Kavitha, and Q. Zhu, “Controlling Fake News by Collective Tagging: A Branching Process Analysis,” IEEE Control Systems Letters, vol. 5, no. 6, pp. 2108–2113, 2021. DOI
  58. [J58]J. Chen, R. Zhang, Y. Huang, and Q. Zhu, “Optimal Curing Strategy for Competing Epidemics Spreading over Complex Networks,” IEEE Transactions on Signal and Information Processing over Networks, vol. 7, pp. 1–14, 2021. DOI
  59. [J59]J. Chen, T. Başar, and Q. Zhu, “Dynamic Contract Design for Systemic Cyber Risk Management of Interdependent Enterprise Networks,” Dynamic Games and Applications, vol. 11, no. 2, pp. 294-325, 2021. DOI
  60. [J60]J. Farooq and Q. Zhu, “QoE Based Revenue Maximizing Dynamic Resource Allocation and Pricing for Fog-Enabled Mission-Critical IoT Applications,” IEEE Transactions on Mobile Computing, vol. 20, no. 12, pp. 3395-3408, 2021. DOI
  61. [J61]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, Q. Zhu, “Dynamic Resilient Network Games with Applications to Multi-Agent Consensus,” IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 246-259, 2021. DOI
  62. [J62]G. Peng, J. Chen, and Q. Zhu, “Distributed Stabilization of Two Interdependent Markov Jump Linear Systems with Partial Information,” IEEE Control Systems Letters, vol. 5, no. 2, pp. 713-718, 2021. DOI
  63. [J63]S. Liu and Q. Zhu, “Robust and Stochastic Optimization with a Hybrid Coherent Risk Measure with an Application to Supervised Learning,” IEEE Control Systems Letters, vol. 5, no. 3, pp. 965-970, July 2021. DOI
  64. [J64]E. Cox, Q. Zhu and E. Balcetis, “Stuck on a Phishing Lure: Differential Use of Base Rates in Self and Social Judgments of Susceptibility to Cyber Risk,” Comprehensive Results in Social Psychology, vol. 4, no. 1, pp. 25-52, 2020, DOI
  65. [J65]Y. Zhao, L. Huang, C. Smidts, Q. Zhu, “Finite-horizon Semi-Markov Game for Time-sensitive Attack Response and Probabilistic Risk Assessment in Nuclear Power Plants,” Reliability Engineering & System Safety, vol. 201, Sept. 2020, pp. 106878. DOI
  66. [J66]Y. Huang, J. Chen, L. Huang and Q. Zhu, “Dynamic Games for Secure and Resilient Control System Design”, National Science Review, vol. 7, no. 7, July 2020, pp. 1125–1141, DOI
  67. [J67]A. Tanwani and Q. Zhu, “Feedback Nash Equilibrium for Randomly Switching Differential-Algebraic Games,” IEEE Transactions on Automatic Control, vol. 65, no. 8, Aug. 2020, pp. 3286 - 3301, 2020. DOI
  68. [J68]J. Chen and Q. Zhu, “Control of Multi-Layer Mobile Autonomous Systems in Adversarial Environments: A Games-in-Games Approach,” IEEE Transactions on Control of Network Systems, vol. 7, no. 3, pp. 1056-1068, Sept. 2020, DOI
  69. [J69]R. Zhang and Q. Zhu, “FlipIn: A Game-Theoretic Cyber Insurance Framework for Incentive-Compatible Cyber Risk Management of Internet of Things,” IEEE Transactions on Information Forensics and Security, vol. 15, pp. 2026-2041, 2020, DOI
  70. [J70]M. K. Hanawal, Y. Hayel, Q. Zhu “Effective Utilization of Licensed and Unlicensed Spectrum in Large Scale Ad Hoc Networks”, IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 2, pp. 618-630, June 2020, DOI
  71. [J71]L. Huang and Q. Zhu, “A dynamic games approach to proactive defense strategies against Advanced Persistent Threats in cyber-physical systems,” Computers & Security, vol. 89, 2020, 101660, ISSN 0167-4048, DOI
  72. [J72]M. J. Farooq and Q. Zhu, “Modeling, Analysis, and Mitigation of Dynamic Botnet Formation in Wireless IoT Networks,” in IEEE Transactions on Information Forensics and Security, vol. 14, no. 9, pp. 2412-2426, Sept. 2019. DOI
  73. [J73]C. A. M. Moreno, H. R. Pota, Q. Zhu, J. M. Guerrero, J. C. Vasquez, “Experiments on a Real Time Energy Management System for Islanded Prosumer Microgrids,” Electronics 2019, 8(9), 925, vol. 8, no. 9, p. 925, 2019. DOI
  74. [J74]J. Pawlick, E. Colbert, and Q. Zhu, “A Game-Theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacy,” ACM Computing Surveys, vol. 52, no. 4, Article 82 (August 2019), 28 pages; DOI
  75. [J75]J. Chen and Q. Zhu, “A Dynamic Game Approach to Strategic Design of Secure and Resilient Infrastructure Network,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 15, pp. 462-474, 2020; DOI
  76. [J76]Y. Huang and Q. Zhu, “A Differential Game Approach to Decentralized Virus-Resistant Weight Adaptation Policy over Complex Networks,” IEEE Transactions on Control of Network Systems, July 2019; DOI
  77. [J77]R. Zhang and Q. Zhu, “Consensus-based Distributed Discrete Optimal Transport for Decentralized Resource Matching,” IEEE Transactions on Signal and Information Processing over Networks, vol. 5, no. 3, pp. 511-524, Sept. 2019; DOI
  78. [J78]J. Chen and Q. Zhu, “Interdependent Strategic Security Risk Management with Bounded Rationality in the Internet of Things,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, no. 11, pp. 2958-2971, Nov. 2019. DOI
  79. [J79]J. Chen and Q. Zhu, “Optimal Secure Two-Layer IoT Network Design,” IEEE Transactions on Control of Network Systems, vol. 7, no. 1, pp. 398-409, March 2020. DOI
  80. [J80]J. Pawlick and Q. Zhu, “Modeling and Analysis of Leaky Deception using Signaling Games with Evidence”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, no. 7, pp. 1871-1886, July 2019; DOI
  81. [J81]G. Befekadu and Q. Zhu, “Optimal Control of Diffusion Processes Pertaining to an Opioid Epidemic Dynamical Model with Random Perturbations”, Journal of Mathematical Biology, vol. 78, no. 5, pp. 1425-1438, 2019. DOI
  82. [J82]J. Pawlick, J. Chen and Q. Zhu, “iSTRICT: An Interdependent Strategic Trust Mechanism for the Cloud-Enabled Internet of Controlled Things”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 14, no. 6, pp. 1654-1669, June 2019. DOI
  83. [J83]R. Zhang and Q. Zhu, “Game-Theoretic Design of Secure and Resilient Distributed Support Vector Machines with Adversaries,” Journal of Advances in Information Fusion, vol. 14, no. 1, June 2019; ISSN 1557-6418.
  84. [J84]L. Huang and Q. Zhu, “Adaptive Strategic Cyber Defense for Advanced Persistent Threats in Critical Infrastructure Networks”, Performance Evaluation Review, 2019, to appear, vol. 46, no. 2, pp. 52-56, 2019. DOI
  85. [J85]S. F. Noorani, M. H. Manshaei, M. A. Montazeri and Q. Zhu, “Game-Theoretic Approach to Group Learning Enhancement Through Peer-to-Peer Explanation and Competition,” in IEEE Access, vol. 6, pp. 53684-53697, 2018. DOI
  86. [J86]M. J. Farooq and Q. Zhu, “A Multi-Layer Feedback System Approach to Resilient Connectivity of Remotely Deployed Mobile Internet of Things,” in IEEE Transactions on Cognitive Communications and Networking, vol. 4, no. 2, pp. 422-432, June 2018. DOI
  87. [J87]F. Miao, Q. Zhu, M. Pajic, G. J. Pappas, “A Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems,” Automatica, vol. 93, July 2018, pp. 55-63. DOI
  88. [J88]T. Zhang and Q. Zhu, “Distributed Privacy-Preserving Collaborative Intrusion Detection Systems for VANETs,” in IEEE Transactions on Signal and Information Processing over Networks, vol. 4, no. 1, pp. 148-161, March 2018. DOI
  89. [J89]Q. Zhu, and S. Rass, “On Multi-Phase and Multi-Stage Game-Theoretic Modeling of Advanced Persistent Threats,” IEEE Access, vol. 6, pp. 13958-13971, 2018. DOI
  90. [J90]M. J. Farooq and Q. Zhu, “On the Secure and Reconfigurable Multi-Layer Network Design for Critical Information Dissemination in the Internet of Battlefield Things (IoBT),” in IEEE Transactions on Wireless Communications, vol. 17, no. 4, pp. 2618-2632, April 2018. DOI
  91. [J91]R. Zimmerman, Q. Zhu, and C. Dimitri, “A Network Framework for Dynamic Models of Urban Food, Energy and Water Systems (FEWS),” Environmental Progress & Sustainable Energy, 37(1), 122-131, vol. 37, no. 1, pp. 122-131, 2018. DOI
  92. [J92]R. Zhang and Q. Zhu, “Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines,” IEEE Transactions on Neural Networks and Learning Systems, vol. PP, no. 99, pp. 1-16, 2018. DOI
  93. [J93]B. Khazaei, J. S. Sartakhti, M. H. Manshaei, Q. Zhu, M. Sadeghi, and S. R. Mousavi, “HIV-1-Infected T-cells Dynamics and Prognosis: An Evolutionary Game Model,” Computer Methods and Programs in Biomedicine, vol. 152, 2017, pp. 1-14. DOI
  94. [J94]J. Chen, C. Touati, and Q. Zhu, “A Dynamic Game Analysis and Design of Infrastructure Network Protection and Recovery,” SIGMETRICS Perform. Eval. Rev. vol. 45, no. 2, pp. 125–128, 2017. DOI
  95. [J95]Y. Liu, J. Zhang, Q. Zhu “CONGRESS: A Hybrid Reputation System in Coping with the Subjectivity Problem,” IEEE Transactions on Computational Social Systems, vol. 4, no. 3, pp. 163-178, Sept. 2017. DOI
  96. [J96]J. Pawlick and Q. Zhu, “Strategic Trust in Cloud-Enabled Cyber-Physical Systems with an Application to Glucose Control”, IEEE Transactions on Information Forensics and Security, vol. 12, no. 12, pp. 2906-2919, Dec. 2017. DOI
  97. [J97]J. Chen and Q. Zhu, “A Stackelberg Game Approach for Two-Level Distributed Energy Management in Smart Grids,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6554-6565, Nov. 2018. DOI
  98. [J98]J. Chen and Q. Zhu, “Security as a Service for Cloud-Enabled Internet of Controlled Things under Advanced Persistent Threats: A Contract Design Approach”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 12, no. 11, pp. 2736-2750, Nov. 2017. DOI
  99. [J99]S. Rass, A. Alshawish, M. A. Abid, S. Schauer, Q. Zhu, H. de Meer, “Physical Intrusion Games – Optimizing Surveillance by Simulation and Game Theory,” IEEE Access, vol. 5, pp. 8394-8407, 2017. DOI
  100. [J100]R. Zimmerman, Q. Zhu, F. De Leon, and Z. Guo, “Conceptual Modeling Framework to Integrate Resilient and Interdependent Infrastructure in Extreme Weather,” Journal of Infrastructure Systems, 23(4):04017034, vol. 23, no. 4, 2017. DOI
  101. [J101]R. Zhang, Q. Zhu and Y. Hayel “A Bi-Level Game Approach to Attack-Aware Cyber Insurance of Computer Networks,” IEEE Journal on Selected Areas in Communications (JSAC)-Special Issue on Game Theory over Networks, vol. 35, no. 3, pp. 779-794, March 2017. DOI
  102. [J102]Y. Hayel and Q. Zhu, “Epidemic Protection over Heterogeneous Networks Using Evolutionary Poisson Games,” IEEE Transactions on Information Forensics and Security (TIFS), vol. 12, no. 8, pp. 1786-1800, Aug. 2017. DOI
  103. [J103]J. Chen and Q. Zhu, “A Game-Theoretic Framework for Resilient and Distributed Generation Control of Renewable Energies in Microgrids,” IEEE Trans. on Smart Grid, no. 8, vol. 1, 2017, pp. 285-295. DOI
  104. [J104]T. Zhang and Q. Zhu, “Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning,” IEEE Transactions on Information Forensics and Security, vol. 12, no. 1, pp. 172-187, Jan. 2017. DOI
  105. [J105]L. Zhou, Q. Zhu, Z. Wang, W. Zhou, “Adaptive Exponential Synchronization of Multi-Slave Time-Delay Recurrent Neural Networks with Levy Noise and Regime Switching,” IEEE Transactions on Neural Networks and Learning Systems, vol. 8, no. 12, pp.2885-2898, 2017. DOI
  106. [J106]C. Fung and Q. Zhu, “FACID: A Trust-based Collaborative Decision Framework for Intrusion Detection Networks,” Ad Hoc Networks, 53, pp.17-31, 2016. DOI
  107. [J107]F. Miao, Q. Zhu, M. Pajic and G. J. Pappas, “Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks,” IEEE Transactions on Control of Network Systems, vol. 4, no. 1, pp.106-117, 2018. DOI
  108. [J108]D. Bauso, Q. Zhu, and T. Başar, “Decomposition and mean-field approach to mixed integer optimal compensation problems,” Journal of Optimization Theory and Applications, vol. 169, no. 2, pp.606-630, 2016. (D. Bauso is with University of Sheffield, UK.) DOI
  109. [J109]E. Simhon, Y. Hayel, Q. Zhu and D. Starobinski, “Optimal Information Disclosure Policies in Strategic Queueing Games,” Operations Research Letters, vol. 4, no. 1, pp.109-113, 2016. DOI
  110. [J110]R. Zimmerman, Q. Zhu, C. Dimitri, “Promoting Resilience for Food, Energy, and Water Interdependencies, Special Issue on Food-Energy-Water Nexus,” Journal of Environmental Studies and Sciences, vol. 6, no. 1, pp. 50-61, 2016. DOI
  111. [J111]Y. Yuan, F. Sun, and Q. Zhu, “Resilient control in the presence of DoS attack: Switched system approach,” International Journal of Control, Automation and Systems 13.6 (2015): 1423-1435, vol. 13, no. 6, pp. 1423-1435, 2015. DOI
  112. [J112]R. Zhang and Q. Zhu, “Student Research Highlight: Secure and Resilient Distributed Machine Learning Under Adversarial Environments,” IEEE Aerospace and Electronic Systems Magazine, vol. 31, no. 3, pp. 34-36, 2016. DOI
  113. [J113]S. Maharjan, Q. Zhu, Y. Zhang, S. Gjessing, and T. Başar, “Demand Response Management in the Smart Grid in a Large Population Regime,” IEEE Transactions on Smart Grid, vol. 7, no. 1, January 2016, pp. 189–199. DOI
  114. [J114]J. Casey, A. Morales, E. Wright, Q. Zhu and B. Mishra, “Compliance Signaling Games: Modeling Deterrence of Unintentional Insider Threats,” Journal of Computational and Mathematical Organization Theory, vol. 22, no. 3, pp. 318-349, 2016. DOI
  115. [J115]Q. Zhu and T. Başar, “Game-Theoretic Methods for Robustness, Security, and Resilience of Cyberphysical Control Systems: Games-in-Games Principle for Optimal Cross-Layer Resilient Control Systems,” IEEE Control Systems, vol. 35, no. 1, pp. 46-65, 2015. DOI
  116. [J116]R. Hou, C. Wang, Q. Zhu, and J. Li, “Interference-Aware QoS Multicast Routing for Smart Grid.” Ad Hoc Networks, vol. 22, pp. 13-26, 2014. DOI
  117. [J117]Q. Zhang, Q. Zhu, M. Zhani, R. Boutaba, J. L. Hellerstein, “Dynamic Service Placement in Geographically Distributed Clouds,” IEEE Journal on Selected Areas in Communications (JSAC)-Special Issue on Autonomic Communications, vol. 31, no. 10, October 2013. DOI
  118. [J118]S. Maharjan, Q. Zhu, Y. Zhang, S. Gjessing, T. Başar, “Dependable Demand Response Management in Smart Grid: A Stackelberg Game Approach,” IEEE Trans. on Smart Grid, Special Issue on Smart Grid Communication Systems: Reliability, Dependability & Performance, vol. 7, no. 1, pp.189–199, 2012. DOI
  119. [J119]Q. Zhu and T. Başar, “Multi-Resolution Large Population Stochastic Differential Games and Their Application to Demand Response Management in the Smart Grid,” J. Dynamic Games and Applications, vol. 3, no. 1, 2013. DOI
  120. [J120]Q. Zhu, Z. Yuan, J. B. Song, Z. Han, T. Başar, “Interference Aware Routing Game for Cognitive Radio Multihop Networks,” IEEE Journal on Selected Areas in Communications (JSAC)-Cognitive Radio Series, vol. 30, no. 10, pp. 2006–2015, 2012. DOI
  121. [J121]Q. Zhu, C. Fung, R. Boutaba, T. Başar, “GUIDEX: A Game-Theoretic Incentive-Based Mechanism for Intrusion Detection Networks,” EEE Journal on Selected Areas in Communications (JSAC) Special Issue on Economics of Communication Networks & Systems, vol. 30, no. 11, pp. 2220–2230, December 2012. DOI
  122. [J122]H. Tembine, Q. Zhu, T. Başar, “Risk-Sensitive Mean-Field Games,” IEEE Trans. on Automatic Control, vol. 59, no. 4, pp. 835–850, April 2014. DOI
  123. [J123]Q. Zhu, H. Tembine, and T. Başar, “Evolutionary Games for Multiple Access Control,” In P. Cardaliaguet and R. Cressman (Eds.), Annals of the International Society of Dynamic Games, vol. 12, pp. 39–72, 2012. DOI
  124. [J124]M. H. Manshaei, Q. Zhu, T. Alpcan, T. Başar, J.-P. Hubaux, “Game Theory Meets Network Security and Privacy,” ACM Computing Surveys, vol. 45, no. 3, September 2013. DOI
  125. [J125]T. Başar and Q. Zhu, “Prices of Anarchy, Information, and Cooperation in Differential Games,” J. Dynamic Games and Applications, vol. 1, no. 1, pp. 50–73, March 2011. DOI
  126. [J126]Q. Zhu and L. Pavel, “Enabling OSNR Service Differentiation Using Generalized Model in Optical Networks,” IEEE Transactions on Communications, vol. 57, no. 9, Sept. 2009. DOI
  127. [J127]Q. Zhu and L. Pavel, “End-to-end DWDM Optical Link Power Control via Stackelberg Revenue-Maximizing Model,” International Journal of Network Management (IJNM) Special Issue on Mathematical Methods in Network Management, vol. 18, pp. 505–520, 2008. DOI

Conference Papers

  1. [C1]Q. Zhu. “Continuum Aumann–Drèze Value and Exit-and-Join Coalition Dynamics in Nonatomic Cooperative Games.” in Proc. IEEE 65th Conference on Decision and Control (CDC), 2026, to appear.
  2. [C2]Q. Zhu. “Calibrated Learning of Sequential Equilibrium in Signaling Games.” in Proc. IEEE 65th Conference on Decision and Control (CDC), 2026, to appear (invited session).
  3. [C3]Q. Zhu and Z. Han. “Performative Scenario Optimization.” in Proc. IEEE 65th Conference on Decision and Control (CDC), 2026, to appear. arXiv:2603.29982.
  4. [C4]Y.-T. Yang and Q. Zhu. “Actionable Recourse in Competitive Environments: A Dynamic Game of Endogenous Selection.” in Proc. IEEE 65th Conference on Decision and Control (CDC), 2026, to appear. arXiv:2603.17907.
  5. [C5]Y.-T. Yang and Q. Zhu. “When to Deceive: A Cross-Layer Stackelberg Game Framework for Strategic Timing of Cyber Deception.” 17th Conference on Game Theory and AI for Security (GameSec), 2026, to appear. arXiv:2505.21244.
  6. [C6]Q. Zhu. “Performative Shapley Allocation for Endogenous Network Formation.” IFAC Workshop on Cyber-Physical and Human Systems (CPHS), 2026, to appear.
  7. [C7]Q. Zhu and Y.-T. Yang. “Agentomics: Valuation and Pricing of AI Agents in Human–AI Collaboration.” IFAC Workshop on Cyber-Physical and Human Systems (CPHS), 2026, to appear (extended abstract).
  8. [C8]Q. Zhu. “Berk–Nash Equilibrium and Learning for Satellite Orbital Pursuit–Evasion Games.” 23rd IFAC World Congress (IFAC WC 2026), Busan, Republic of Korea, August 23–28, 2026.
  9. [C9]Y. Pan and Q. Zhu. “Timing-Aware Two-Player Stochastic Games with Self-Triggered Control.” 23rd IFAC World Congress (IFAC WC 2026), Busan, Republic of Korea, August 23–28, 2026. arXiv:2512.18109.
  10. [C10]Y. Pan and Q. Zhu. “A Games-in-Games Approach for Hybrid Robust Control of Cyber-Physical Systems.” 23rd IFAC World Congress (IFAC WC 2026), Busan, Republic of Korea, August 23–28, 2026.
  11. [C11]Y.-T. Yang and Q. Zhu. “Hylomorphic Dynamic Programming.” 23rd IFAC World Congress (IFAC WC 2026), Busan, Republic of Korea, August 23–28, 2026.
  12. [C12]Q. Zhu. “Introduction to Cooperative Games and Coalition Dynamics in Socio-Technical Networks.” 23rd IFAC World Congress (IFAC WC 2026), Busan, Republic of Korea, August 23–28, 2026 (tutorial session paper).
  13. [C13]Q. Zhu and Z. Han. “Split-Merge Dynamics for Shapley-Fair Coalition Formation.” International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2026. arXiv:2603.17153.
  14. [C14]Q. Zhu and Z. Han. “Learning, Misspecification, and Cognitive Arbitrage in Linear-Quadratic Network Games.” International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2026. arXiv:2603.17157.
  15. [C15]Y.-T. Yang and Q. Zhu. “Internet of Agentic AI: Incentive-Compatible Distributed Teaming and Workflow.” 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pp. 1–8, 2026. DOI
  16. [C16]P.-Y. Chen, J. Oh, H.-W. Hsing, N. Lau, B. Beltz, P. Wu, and Q. Zhu. “Efficiency and Equity in Screening for Participants in Representative Cybersecurity Studies.” International Conference on Human-Computer Interaction (HCI for Cybersecurity, Privacy and Trust), Lecture Notes in Computer Science, pp. 421–434, 2026. DOI
  17. [C17]Y.-T. Yang and Q. Zhu. “A Multi-Resolution Dynamic Game Framework for Cross-Echelon Decision-Making in Cyber Warfare.” International Conference on Game Theory and AI for Security (GameSec), pp. 335–355, 2025. DOI
  18. [C18]Y.-T. Yang and Q. Zhu. “PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models.” IEEE Global Communications Conference (GLOBECOM), pp. 5677–5682, 2025. DOI
  19. [C19]Y. Pan, J. Li, L. Xu, S. Sun, and Q. Zhu. “A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance.” IEEE International Radar Conference (RADAR), pp. 1–6, 2025. DOI
  20. [C20]A.T. Nguyen, Q. Zhu, and A. Teixeira, “Bilateral Cognitive Security Games in Networked Control Systems under Stealthy Injection Attacks,” in Proc. IEEE 64th Conference on Decision and Control (CDC), pp. 7305–7312, 2025. DOI
  21. [C21]Y.T. Yang, Y. Pan, and Q. Zhu, “Preference-Centric Route Recommendation: Equilibrium, Learning, and Provable Efficiency,” in Proc. IEEE 64th Conference on Decision and Control (CDC), pp. 5873–5878, 2025. DOI
  22. [C22]Q. Zhu. “Generative-Conjectural LLM Equilibrium for Agentic AI Deception with Applications to Spearphishing.” International Conference on Game Theory and AI for Security (GameSec), 2025. DOI
  23. [C23]S.K. Singh and Q. Zhu. “Consistent Conjectural Approach to Adversarial Intent Tracking Under Sensing Constraints in Multi-Target Defense Differential Games.” International Conference on Game Theory and AI for Security (GameSec), 2025. DOI
  24. [C24]M.A. Al Bari and Q. Zhu. “A Gestalt Game-Theoretic Framework for Designing Agentic AI Workflows in Cyber Deception.” International Conference on Game Theory and AI for Security (GameSec), 2025. DOI
  25. [C25]K.G. Vamvoudakis, F. Fotiadis, T. Başar, V. Gupta, J. Poveda, M. Tang, M. Zhu, M. Khajenejad, Q. Zhu, and others. “Deception in Game Theory and Control: A Tutorial.” American Control Conference (ACC), 2025. DOI
  26. [C26]T. Li, J. Guevara, X. Xie, and Q. Zhu. “Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning.” 17th Workshop on Adaptive and Learning Agents (ALA), 2025.
  27. [C27]Y. Ge and Q. Zhu. “MEGA-PT: A Meta-game Framework for Agile Penetration Testing.” International Conference on Decision and Game Theory for Security, 2024. DOI
  28. [C28]J. Huang and Q. Zhu. “PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation.” Workshop on Autonomous Cybersecurity (AutonomousCyber ’24), ACM SIGSAC Conference on Computer and Communications Security (CCS), 2024. DOI
  29. [C29]Y. Zhao and Q. Zhu. “Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator.” IEEE International Conference on Robotics and Automation (ICRA), 2024. DOI
  30. [C30]M. Yin, T. Li, H. Lei, Y. Hu, S. Rangan, and Q. Zhu. “Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning.” IEEE International Conference on Robotics and Automation (ICRA), 2024. DOI
  31. [C31]P.C. Palacio, J.M. Maestre, Q. Zhu, and W. Heemels. “Cooperative Nonlinear Distributed Model Predictive Control with Dissimilar Control Horizons.” Conference on Decision and Control, 2024. DOI
  32. [C32]T. Li, K. Hammar, R. Stadler, and Q. Zhu. “Conjectural Online Learning with First-order Beliefs in Asymmetric Information Stochastic Games.” IEEE 63rd Conference on Decision and Control (CDC), pp. 6780–6785, 2024. DOI
  33. [C33]Y. Pan, T. Li, and Q. Zhu. “On the Variational Interpretation of Mirror Play in Monotone Games.” IEEE 63rd Conference on Decision and Control (CDC), pp. 6799–6804, 2024. DOI
  34. [C34]H. Lei, Y. Ge, and Q. Zhu. “ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing.” MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), pp. 7–12, 2024. DOI
  35. [C35]T. Li and Q. Zhu. “On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling.” IEEE Conference on Decision and Control (CDC), 2023. DOI
  36. [C36]Y. Pan, T. Li, and Q. Zhu. “Is Stochastic Mirror Descent Vulnerable to Adversarial Delay Attacks? A Traffic Assignment Resilience Study.” IEEE Conference on Decision and Control (CDC), 2023. DOI
  37. [C37]Y.T. Yang, T. Zhang, and Q. Zhu. “A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd.” International Conference on Decision and Game Theory for Security, 2023. DOI
  38. [C38]Y. Zhao and Q. Zhu. “Stackelberg Meta-Learning for Strategic Guidance in Multi-Robot Trajectory Planning.” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. DOI
  39. [C39]Y.T. Yang, T. Li, and Q. Zhu. “Designing Policies for Truth: Combating Misinformation with Transparency and Information Design.” International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2023. DOI
  40. [C40]Y. Hu and Q. Zhu. “Detection in Human-Sensor Systems Under Quantum Prospect Theory Using Bayesian Persuasion Frameworks.” IEEE Statistical Signal Processing Workshop (SSP), 2023. DOI
  41. [C41]Y. Pan, T. Li, and Q. Zhu. “On the Resilience of Traffic Networks Under Non-Equilibrium Learning.” American Control Conference (ACC), 2023. DOI
  42. [C42]T. Li, H. Lei, and Q. Zhu. “Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation.” IEEE International Conference on Robotics and Automation (ICRA), 2023. DOI
  43. [C43]T. Zhang and Q. Zhu. “Stochastic Game with Interactive Information Acquisition: A Fixed-Point Alignment Principle.” Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2023. DOI
  44. [C44]C. Peng and Q. Zhu. “Trust-Aware Resource Management for Secure and Optimal Network Slicing in 5G Mobile Edge Networks.” IEEE INFOCOM 2023 Workshops, New York, NY, USA, May 2023. DOI
  45. [C45]Y. Ge, T. Li, and Q. Zhu. “Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach.” International Workshop on AI-Driven Trustworthy, Secure, and Privacy-Preserving Computing (AidTSP), IEEE INFOCOM 2023 Workshops, New York, NY, USA, May 2023. DOI
  46. [C46]M. Dhiman, C. Peng, V. Kavitha, and Q. Zhu. “Integrative Modeling and Analysis of the Interplay Between Epidemic and News Propagation Processes.” American Control Conference (ACC), San Diego, CA, USA, May 2023. DOI
  47. [C47]Y. Hu and Q. Zhu. “Finitely Repeated Adversarial Quantum Hypothesis Testing.” IFAC World Congress, Yokohama, Japan, July, vol. 56, no. 2, pp. 5894-5899, 2023. DOI
  48. [C48]Y. Nugraha, T. Hayakawa, H. Ishii, A. Cetinkaya, and Q. Zhu. “Two-Player Incomplete Games of Resilient Multiagent Systems.” IFAC World Congress, Yokohama, Japan, July, vol. 56, no. 2, pp. 258-263, 2023. DOI
  49. [C49]Y. Zhao and Q. Zhu. “Stackelberg Meta-Learning Based Control for Guided Cooperative LQG Systems.” IFAC World Congress, Yokohama, Japan, July, vol. 56, no. 2, pp. 10120-10125, 2023. DOI
  50. [C50]J.M. Maestre, E. Masero, J.R. Salvador, D.R. Ramirez, and Q. Zhu. “On Data Reutilization for Historian-Based Predictive Control.” IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022. DOI
  51. [C51]Y. Pan and Q. Zhu. “On Poisoned Wardrop Equilibrium in Congestion Games.” Conference on Decision and Game Theory for Security (GameSec), Pittsburgh, Pennsylvania, 2022. DOI
  52. [C52]Y. Ge and Q. Zhu. “Trust Threshold Policy for Explainable and Adaptive Zero-Trust Defense in Enterprise Networks.” Cyber Resilience Workshop, IEEE Conference on Communications and Network Security (CNS), Austin, TX, USA, October 5, 2022. DOI
  53. [C53]S. Liu and Q. Zhu. “On the Role of Risk Perceptions in Cyber Insurance Contracts.” Cyber Resilience Workshop, IEEE Conference on Communications and Network Security (CNS), Austin, TX, USA, October 5, 2022. DOI
  54. [C54]Y. Huang, T. Zhang, and Q. Zhu. “The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?” Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, 2022. DOI
  55. [C55]Y. Hu and Q. Zhu. “Evasion-Aware Neyman-Pearson Detectors: A Game-Theoretic Approach.” IEEE Conference on Decision and Control (CDC), Cancun, Mexico, 2022. DOI
  56. [C56]S. Liu and Q. Zhu. “EPROACH: A Population Vaccination Game for Strategic Information Design to Enable Responsible COVID Reopening.” American Control Conference (ACC), Atlanta, GA, USA, June 8-10, 2022. DOI
  57. [C57]S. Liu and Q. Zhu. “Understanding the Interplay Between Herd Behaviors and Epidemic Spreading Using Federated Evolutionary Games.” American Control Conference (ACC), Atlanta, GA, USA, June 8-10, 2022. DOI
  58. [C58]Y. Zhao and Q. Zhu. “Distributed and Resilient Planning-Control for Optimal LEO Satellite Constellation Coverage.” American Control Conference (ACC), Atlanta, GA, USA, June 8-10, 2022. DOI
  59. [C59]Y. Zhao, B. Huang, J. Yu, and Q. Zhu. “Stackelberg Strategic Guidance for Heterogeneous Robots Collaboration.” International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, May 23-27, 2022. DOI
  60. [C60]Y. Ge, and Q. Zhu. “MUFAZA: Multi-Source Fast and Autonomous Zero-Trust Authentication for 5G Networks.” MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), pp. 571–576, 2022. DOI
  61. [C61]J. Chen, Y. Huang, and Q. Zhu. “Transactive Resilience in Renewable Microgrids: A Contract-Theoretic Approach.” 56th Annual Conference on Information Sciences and Systems (CISS), pp. 1–6, 2022. DOI
  62. [C62]L. Huang and Q. Zhu. “Combating Informational Denial-of-Service (IDoS) Attacks: Modeling and Mitigation of Attentional Human Vulnerability.” Decision and Game Theory for Security (GameSec), 2021. DOI
  63. [C63]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, and Q. Zhu. “Cluster Formation in Multiagent Consensus via Dynamic Resilient Graph Games.” IEEE Conference on Control Technology and Applications (CCTA), San Diego, USA, August 9-11, 2021. DOI
  64. [C64]T. Li, G. Peng, and Q. Zhu. “Blackwell Online Learning for Markov Decision Processes.” Conference on Information Sciences and Systems (CISS), 2021. DOI
  65. [C65]S. Fang and Q. Zhu. “Information-Theoretic Performance Limitations of Feedback Control: Underlying Entropic Laws and Generic Lp Bounds.” American Control Conference (ACC), New Orleans, Louisiana, USA, May 26-28, 2021. DOI
  66. [C66]S. Fang and Q. Zhu. “Fundamental Limits of Obfuscation for Linear Gaussian Dynamical Systems: An Information-Theoretic Approach.” American Control Conference (ACC), New Orleans, Louisiana, USA, May 26-28, 2021. DOI
  67. [C67]G. Peng, T. Li, S. Liu, J. Chen, and Q. Zhu. “Locally-Aware Constrained Games on Networks.” American Control Conference (ACC), New Orleans, Louisiana, USA, May 26-28, 2021. DOI
  68. [C68]S. Fang and Q. Zhu. “Fundamental Stealthiness-Distortion Tradeoffs in Dynamical (Control) Systems under Injection Attacks: A Power Spectral Analysis.” European Control Conference (ECC), June 29-July 2, 2021. DOI
  69. [C69]Y. Huang and Q. Zhu. “Cross-Layer Coordinated Attacks on Cyber-Physical Systems: A LQG Game Framework with Controlled Observations.” European Control Conference (ECC), June 29-July 2, 2021. DOI
  70. [C70]Y. Zhao, Y. Ge, and Q. Zhu. “Combating Ransomware in Internet of Things: A Games-in-Games Approach for Cross-Layer Cyber Defense and Security Investment.” Lecture Notes in Computer Science, pp. 208–228, 2021. DOI
  71. [C71]Y. Huang, J. Chen, and Q. Zhu. “Defending an Asset with Partial Information and Selected Observations: A Differential Game Framework.” 60th IEEE Conference on Decision and Control (CDC), pp. 2366–2373, 2021. DOI
  72. [C72]Y. Huang, and Q. Zhu. “Self-Triggered Markov Decision Processes.” 60th IEEE Conference on Decision and Control (CDC), pp. 4507–4514, 2021. DOI
  73. [C73]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, and Q. Zhu. “Rolling Horizon Games for Cluster Formation of Resilient Multiagent Systems.” 60th IEEE Conference on Decision and Control (CDC), pp. 4829–4834, 2021. DOI
  74. [C74]Y. Pan, and Q. Zhu. “Efficient Episodic Learning of Nonstationary and Unknown Zero-Sum Games Using Expert Game Ensembles.” 60th IEEE Conference on Decision and Control (CDC), pp. 1669–1676, 2021. DOI
  75. [C75]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, Q. Zhu. “Dynamic Resilient Network Games Considering Connectivity.” Conference on Decision and Control (CDC), Jeju Island, Republic of Korea, Dec. 14-18, 2020. DOI
  76. [C76]Z. Qian, J. Fu, and Q. Zhu. “A Receding-Horizon MDP Approach for Performance Evaluation of Moving Target Defense in Networks.” IEEE Conference on Control Technology and Applications (CCTA), Montréal, Canada, August 24-26, 2020. DOI
  77. [C77]T. Kieras, J. Farooq and Q. Zhu. “Modelling and Assessment of IoT Supply Chain Security Risks: The Role of Structural and Parametric Uncertainties.” Workshop on Cyber Resilient Supply Chain Technologies (CReSCT), IEEE Security and Privacy Symposium, May 21, 2020. DOI
  78. [C78]T. Kieras, J. Farooq and Q. Zhu. “RIoTS: Risk Analysis of IoT Supply Chain Threats.” IEEE World Forum on Internet of Things (WF-IoT), New Orleans, Louisiana USA, April 5-9, 2020. DOI
  79. [C79]V. Taynitskiy, E. Gubar, D. Fedyanin, I. Petrov and Q. Zhu. “Optimal Control in the Multivirus Epidemic Model under Information Spreading.” IFAC World Congress, 2020. DOI
  80. [C80]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, Q. Zhu. “Dynamic Resilient Graph Games for State-Dependent Jamming Attacks Analysis on Multi-Agent Systems.” IFAC World Congress, vol. 53, no. 2, pp. 3421-3426, 2020. DOI
  81. [C81]P. Chanfreut, J. M. Maestre, Q. Zhu, E. F. Camacho. “No-Regret Learning for Coalitional Model Predictive Control.” IFAC World Congress, 2020. DOI
  82. [C82]G. Peng, K. Veeraruna, Q. Zhu. “On Optimal Control of Discounted Cost Infinite-Horizon Markov Decision Processes Under Local State Information Structures.” IFAC World Congress, vol. 53, no. 2, pp. 6881-6886, 2020. DOI
  83. [C83]S. Fang and Q. Zhu. “A Connection between Feedback Capacity and Kalman Filter for Colored Gaussian Noises.” IEEE International Symposium on Information Theory (ISIT), Los Angeles, California, USA, June 21-26, 2020. DOI
  84. [C84]S. Fang and Q. Zhu. “Fundamental Limitations in Sequential Prediction and Recursive Algorithms: Lp Bounds via an Entropic Analysis.” Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 18-20, 2020. DOI
  85. [C85]G. Peng and Q. Zhu. “Sequential Hypothesis Testing Game.” Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 18-20, 2020. DOI
  86. [C86]Y. Li, T. Zhang, and Q. Zhu. “Distributed Multi-Battery Coordination for Cooperative Energy Management via ADMM-based Iterative Learning.” American Control Conference, Denver, CO, USA, July 1-3, 2020. DOI
  87. [C87]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, and Q. Zhu. “Two-Player Resilient Graph Games for State-Dependent Jamming Attacks Analysis on Multi-Agent Systems.” SICE International Symposium on Control Systems, Tokushima, Japan, March 3-5, 2020.
  88. [C88]L. Huang, and Q. Zhu. “Farsighted Risk Mitigation of Lateral Movement Using Dynamic Cognitive Honeypots.” Lecture Notes in Computer Science, pp. 125–146, 2020. DOI
  89. [C89]G. Peng, T. Zhang, and Q. Zhu. “A Data-Driven Distributionally Robust Game Using Wasserstein Distance.” Lecture Notes in Computer Science, pp. 405–421, 2020. DOI
  90. [C90]Y. Pan, G. Peng, J. Chen, and Q. Zhu. “MASAGE: Model-Agnostic Sequential and Adaptive Game Estimation.” Lecture Notes in Computer Science, pp. 365–384, 2020. DOI
  91. [C91]Y. Zhao, and Q. Zhu. “Combating Online Counterfeits: A Game-Theoretic Analysis of Cyber Supply Chain Ecosystem.” Lecture Notes in Computer Science, pp. 326–345, 2020. DOI
  92. [C92]T. Li and Q. Zhu. “On Convergence Rate of Adaptive Multiscale Value Function Approximation for Reinforcement Learning.” IEEE International Workshop on Machine Learning for Signal Processing, Pittsburgh, PA, USA, October 13-16, 2019. DOI
  93. [C93]S. Fang and Q. Zhu. “Generic Bounds on the Maximum Deviations in Sequential Prediction: An Information-Theoretic Analysis.” IEEE International Workshop on Machine Learning for Signal Processing, Pittsburgh, PA, USA, October 13-16, 2019. DOI
  94. [C94]J. Chen and Q. Zhu. “A Games-in-Games Approach to Mosaic Command and Control Design of Dynamic Network-of-Networks for Secure and Resilient Multi-Domain Operations.” SPIE 11017, Sensors and Systems for Space Applications XII, July 29, 2019. DOI
  95. [C95]L. Huang and Q. Zhu. “Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes.” Conference on Decision and Game Theory for Security (GameSec), Stockholm, Sweden, October 30-November 1, 2019. DOI
  96. [C96]Y. Huang and Q. Zhu. “Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals.” Conference on Decision and Game Theory for Security (GameSec), Stockholm, Sweden, October 30-November 1, 2019. DOI
  97. [C97]Y. Huang and Q. Zhu. “Achieving Social Optimum in Dynamic Weight Adaptation for Virus Mitigation: A Potential Differential Game Approach.” IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), Chicago, IL, USA, September 16-17, vol. 52, no. 20, pp. 241-246, 2019. DOI
  98. [C98]S. Fang, M. Skoglund, K. H. Johansson, H. Ishii, and Q. Zhu. “Generic Variance Bounds on Estimation and Prediction Errors in Time Series Analysis: An Entropy Perspective.” Information Theory Workshop (ITW), Visby, Gotland, Sweden, August 25-28, 2019. DOI
  99. [C99]S. Shetty, I. Ray, N. Celik, M. Mesham, N. Bastian, and Q. Zhu. “Simulation for Cyber Risk Management? Where Are We, and Where Do We Want to Go.” Winter Simulation Conference, National Harbor, Maryland, December 8-11, 2019. DOI
  100. [C100]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, and Q. Zhu. “Subgame Perfect Equilibrium Analysis for Jamming Attacks on Resilient Graphs.” American Control Conference (ACC), Philadelphia, USA, July 10-12, 2019. DOI
  101. [C101]J. Pawlick, E. Colbert, and Q. Zhu. “Optimal Timing in Dynamic and Robust Attacker Engagement During Advanced Persistent Threats.” International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Avignon, France, June 3-7, 2019. DOI
  102. [C102]Y. Nugraha, A. Cetinkaya, T. Hayakawa, H. Ishii, and Q. Zhu. “Two-Player Subgame Perfect Equilibrium Analysis for Jamming Attacks on Dynamic Graphs.” SICE International Symposium on Control Systems (ISCS), Tokyo, Japan, March 7-9, 2019.
  103. [C103]Y. Zhao, L. Huang, C. Smidts, and Q. Zhu. “A Game Theoretic Approach for Responding to Cyber-Attacks on Nuclear Power Plants.” International Topical Meeting on Nuclear Plant Instrumentation, Control and Human Machine Interface Technologies (NPIC & HMIT), Orlando, FL, USA, February 9-14, 2019.
  104. [C104]Y. Huang, V. Kavitha, and Q. Zhu. “Continuous-Time Markov Decision Processes with Controlled Observations.” 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 32–39, 2019. DOI
  105. [C105]G. Peng, and Q. Zhu. “Game-Theoretic Analysis of Optimal Control and Sampling for Linear Stochastic Systems.” 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 647–654, 2019. DOI
  106. [C106]J. Chen and Q. Zhu. “A Differential Game Approach to Dynamic Contract Design for Systemic Cyber Risk Management under Asymmetric Information.” Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, October 3-5, 2018, pp. 575–582. DOI
  107. [C107]L. Huang and Q. Zhu. “Analysis and Computation of Adaptive Defense Strategies Against Advanced Persistent Threats for Cyber-Physical Systems.” Conference on Decision and Game Theory for Security (GameSec), Seattle, WA, USA, October 29-31, 2018. DOI
  108. [C108]T. Zhang and Q. Zhu. “Hypothesis Testing Game for Cyber Deception.” in Proceedings of the 9th Conference on Decision and Game Theory for Security (GameSec), Seattle, WA, USA, October 29-31, 2018. DOI
  109. [C109]A. Tanwani and Q. Zhu. “Feedback Nash Equilibrium for Markov Jump Differential-Algebraic Equations with Application to Robust Control.” in Proceedings of the IEEE Conference on Decision and Control (CDC), Miami Beach, FL, USA, December 17-19, 2018. DOI
  110. [C110]L. Huang and Q. Zhu. “Distributed and Optimal Resilient Control of Large-Scale Interdependent Critical Infrastructures.” in Proceedings of the Winter Simulation Conference (WSC), Gothenburg, Sweden, December 9-12, 2018. DOI
  111. [C111]Z. Xu and Q. Zhu. “Cross-Layer Secure and Resilient Control of Delay-Sensitive Networked Robot Operating Systems.” in Proceedings of the IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, August 21-24, 2018. DOI
  112. [C112]J. Farooq and Q. Zhu. “Optimal Dynamic Contract for Spectrum Reservation in Mission- Critical UNB-IoT Systems.” 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt 2018), May 7, Shanghai, China. (Acceptance Rate: 33.0%). DOI
  113. [C113]J. Farooq and Q. Zhu. “Adaptive and Resilient Revenue Maximizing Dynamic Resource Allocation and Pricing for Cloud-Enabled IoT Systems.” American Control Conference (ACC), Milwaukee, Wisconsin, June 27-29, 2018. DOI
  114. [C114]R. Zhang and Q. Zhu. “Consensus-Based Transfer Linear Support Vector Machines for Decentralized Multi-Task Multi-Agent Learning.” 52nd Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ., March 21- 23, 2018. DOI
  115. [C115]J. Chen and Q. Zhu. “Security Investment under Cognitive Constraints: A Gestalt Nash Equilibrium Approach.” 52nd Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ., March 21- 23, 2018. DOI
  116. [C116]A. Dunyak and Q. Zhu. “A Mean-Field Stackelberg Game Approach to Large-Population User Data Obfuscation in Machine Learning.” 52nd Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ., March 21- 23, 2018. DOI
  117. [C117]W. Wang and Q. Zhu. “On the Detection of Adversarial Attacks against Deep Neural Networks.” SafeConfig’17, joint with ACM Conference on Computer and Communications Security (CCS), November 3, 2017, Dallas, TX, USA. DOI
  118. [C118]Z. Xu and Q. Zhu. “Secure and Practical Output Feedback Control for Cloud-Enabled Cyber-Physical Systems.” International Workshop on Cyber-Physical Systems Security (CPS- Sec), IEEE Conference on Communications and Network Security (CNS), Las Vegas, 9-11 October 2017. DOI
  119. [C119]T. Zhang and Q. Zhu. “Strategic Defense Against Deceptive Civilian GPS Spoofing of Unmanned Aerial Vehicles.” 8th Conference on Decision and Game Theory for Security (GameSec), Oct. 23-25, 2017, Vienna, Austria. DOI
  120. [C120]Y. Hayel and Q. Zhu. “Dynamics of Strategic Protection Against Virus Propagation in Heterogeneous Complex Networks.” 8th Conference on Decision and Game Theory for Security (GameSec), Oct. 23-25, 2017, Vienna, Austria. DOI
  121. [C121]K Horak, Q. Zhu and B. Bosansky. “Manipulating Adversary’s Belief: A Dynamic Game Approach to Deception by Design for Proactive Network Security.” 8th Conference on Decision and Game Theory for Security (GameSec), Oct. 23-25, 2017, Vienna, Austria. DOI
  122. [C122]L. Huang, J. Chen and Q. Zhu. “A Large-Scale Markov Game Approach to Dynamic Protection of Interdependent Infrastructure Networks.” 8th Conference on Decision and Game Theory for Security (GameSec), Oct. 23-25, 2017, Vienna, Austria. DOI
  123. [C123]J. Pawlick and Q. Zhu. “Proactive Defense Against Physical Denial of Service Attacks using Poisson Signaling Games.” 8th Conference on Decision and Game Theory for Security (GameSec), Oct. 23-25, 2017, Vienna, Austria. DOI
  124. [C124]J. Chen, C. Touati and Q. Zhu. “Heterogeneous Multi-Layer Adversarial Network Design for the IoT-Enabled Infrastructures.” IEEE GLOBECOM, Singapore, Dec. 4-8, 2017. DOI
  125. [C125]J. Farooq and Q. Zhu. “Cognitive Connectivity Resilience in Multi-layer Remotely Deployed Mobile Internet of Things.” IEEE GLOBECOM, Singapore, Dec. 4-8, 2017. DOI
  126. [C126]J. Pawlick and Q. Zhu. “A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization.” IEEE GlobalSIP Symposium on Control & Information Theoretic Approaches to Privacy and Security, Nov. 14-16, 2017, Montreal, Canada. DOI
  127. [C127]H. Anwar and Q. Zhu. “Minimax Game-Theoretic Approach to Multi-scale H∞ Optimal Filtering.” IEEE GlobalSIP Symposium on Signal Processing for Smart Cities & Internet of Things, Nov. 14-16, 2017, Montreal, Canada. DOI
  128. [C128]R. Zhang and Q. Zhu. “A Game-Theoretic Defense Against Data Poisoning Attacks in Distributed Support Vector Machines.” in Proc. of 56th IEEE Conference on Decision and Control, Dec. 12-15, 2017, Melbourne, Australia. DOI
  129. [C129]C. Smidts, Y. Zhao, X. Diao, I. Ray, J. Hollern, Q. Zhu and T. McJunkin. “Support for Reactor Operators in Case of Cyber-Security Threats.” American Nuclear Society (ANS) winter meeting, Oct. 29 – Nov. 2, 2017, Washington, DC.
  130. [C130]R. Zhang and Q. Zhu. “Attack-Aware Cyber Insurance of Interdependent Computer Networks.” Workshop on the Economics of Information Security (WEIS), La Jolla, CA, June 26-27, 2017. (Acceptance rate: 31%). DOI
  131. [C131]J. Chen and Q. Zhu. “Interdependent Strategic Cyber Defense and Robust Switching Control Design for Wind Energy Systems.” in Proc. of IEEE PES GM Conference, Chicago, IL, July 16-20, 2017. DOI
  132. [C132]E. Gubar and Q. Zhu. “Optimal Control of Multi-Strain Epidemic Processes in Complex Networks.” in Proceedings of the 7th EAI International Conference on Game Theory for Networks (GameNets), Knoxville, TN., May 9-10, 2017. DOI
  133. [C133]M. K. Hanawal, Y. Hayel and Q. Zhu. “Throughput Maximization of Large-Scale Secondary Networks over Licensed and Unlicensed Spectra.” in Proceedings of the International Workshop on Resource Allocation, Cooperation and Competition in Wireless Networks (RA WNET), Paris, France, 15th May, 2017. DOI
  134. [C134]J. Farooq, H. ElSawy, Q. Zhu, and M.-S. Alouini. “Optimizing Mission Critical Data Dissemination in Massive IoT Networks.” in Proceedings of Workshop on Spatial Stochastic Models for Wireless Networks (SpaSWiN), Paris, France, 19th May, 2017. DOI
  135. [C135]J. Farooq and Q. Zhu. “Secure and Reconfigurable Network Design for Critical Information Dissemination in the Internet of Battlefield Things (IoBT).” in Proceedings of 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Telecom ParisTech, Paris, France, 15th - 19th May, 2017. (Acceptance rate: 32.6%). DOI
  136. [C136]L. Huang, J. Chen and Q. Zhu. “A Factored MDP Approach to Optimal Mechanism Design for Resilient Large-Scale Interdependent Critical Infrastructures.” in Proceedings of 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), CPS Week, April 18 - 21, 2017, Pittsburgh, PA, USA. DOI
  137. [C137]V. Kurian, J. Chen and Q. Zhu. “Electric Power Dependent Dynamic Tariffs for Water Distribution Systems.” in Proceedings of 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks (CySWater), CPS Week, April 18 - 21, 2017, Pittsburgh, PA, USA. DOI
  138. [C138]Z. Xu and Q. Zhu. “A Game-Theoretic Approach to Secure Control of Communication- Based Train Control Systems Under Jamming Attacks.” in Proceedings of the 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, (SCA V 2017), CPS Week, April 18 - 21, 2017, Pittsburgh, PA, USA. DOI
  139. [C139]V. Taynitskiy, E. Gubar, Q. Zhu. “Optimal Impulsive Control of Epidemic Spreading of Heterogeneous Malware.” In Proceedings of 20th IFAC World Congress, Toulouse, France, 9-14 July 2017. DOI
  140. [C140]Z. Xu and Q. Zhu. “A Secure Data Assimilation for Large-Scale Sensing Networks Using an Untrusted Cloud.” In Proceedings of 20th IFAC World Congress, Toulouse, France, 9-14 July 2017. DOI
  141. [C141]R. Zhang and Q. Zhu. “A Game-Theoretic Analysis of Label Flipping Attacks on Distributed Support Vector Machines.” In Proceedings of Conference on Information Sciences and Systems (CISS), Baltimore, Maryland, March 22-24, 2017. DOI
  142. [C142]I. Triki, R. El-Azouzi, M. Haddad, Q. Zhu, and Z. Xu. “Learning from experience: A dynamic closed-loop QoE optimization for video adaptation and delivery.” IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–5, 2017. DOI
  143. [C143]J. Pawlick, and Q. Zhu. “Quantitative models of imperfect deception in network security using signaling games with evidence [IEEE CNS 17 Poster].” IEEE Conference on Communications and Network Security (CNS), pp. 394–395, 2017. DOI
  144. [C144]H. Anwar, and Quanyan Zhu. “Minimax robust optimal control of multiscale linear-quadratic systems.” 51st Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, March 22-24, 2017, pp. 1–6. DOI
  145. [C145]T. Zhang and Q. Zhu. “A Dual Perturbation Approach for Differential Private ADMM- based Distributed Empirical Risk Minimization.” In Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security (AISec’16), pp. 129–137, New York, NY, USA, 2016. DOI
  146. [C146]A. Monga, Q. Zhu. “On Solving Large-Scale Low-Rank Zero-Sum Security Games of Incomplete Information.” 8th IEEE International Workshop on Information Forensics and Security (WIFS) 2016, Abu Dhabi, UAE, Dec. 5-7, 2016. DOI
  147. [C147]J. Pawlick, Q. Zhu. “A Stackelberg Game Perspective on the Conflict Between Machine Learning and Data Obfuscation.” 8th IEEE International Workshop on Information Forensics and Security (WIFS) 2016, Abu Dhabi, UAE, Dec. 5-7, 2016. DOI
  148. [C148]J. Chen and Q. Zhu. “Resilient and Decentralized Control of Multi-level Cooperative Mobile Networks to Maintain Connectivity under Adversarial Environment.” 55th IEEE Conference on Decision and Control (CDC), Las Vegas, USA on December 12-14, 2016. DOI
  149. [C149]J. Chen and Q. Zhu. “Optimal Contract Design under Asymmetric Information for Resilient Cloud-Enabled Internet of Controlled Things.” 7th Conference on Decision and Game Theory for Security (GameSec), NY, USA, on November 2-4, 2016. DOI
  150. [C150]A. Mohammadi, M. H. Manshaei, M. M. Moghaddam, and Q. Zhu. “A Game-Theoretic Analysis of Deception over Social Networks Using Fake Avatars.” 27th Conference on Decision and Game Theory for Security (GameSec), NY, USA, on November 2-4, 2016. DOI
  151. [C151]S. Rass and Q. Zhu. “GADAPT: A Sequential Game-Theoretic Framework for Designing Defense-in-Depth Strategies against Advanced Persistent Threats.” 27th Conference on Decision and Game Theory for Security (GameSec), NY, USA, on November 2-4, 2016. DOI
  152. [C152]V. Taynitskiy, E. Gubar, Q. Zhu. “Optimal Security Policy for Protection against Heterogeneous Malware.” International conference on NETwork Games, COntrol and Optimization (NETGCOOP), Avignon, France, 2016. DOI
  153. [C153]Z. Xu and Q. Zhu. “Cross-Layer Secure Cyber-Physical Control System Design for Networked 3D Printers.” Proc. of 2016 American Control Conference, Boston, USA on July 6-8, 2016. DOI
  154. [C154]J. Chen and Q. Zhu. “Interdependent Network Formation Games with an Application to Critical Infrastructures.” Proc. of 2016 American Control Conference, Boston, USA on July 6-8, 2016. DOI
  155. [C155]Y. Hayel, B. Tounsi and Q. Zhu. “Computing mixed traffic equilibrium with electric and gasoline vehicles and application to emission reduction.” Le congres annuel de la soci´ et´ e Francaise de Recherche Op´ erationnelle et d’Aide ´ a la D´ ecision (ROADEF 2016), Compi` enge France, Feb. 10-12, 2016.
  156. [C156]M. Moghaddam, M. H. Manshaei, and Q. Zhu. “To Trust or Not: A Security Signaling Game between Service Provider and Client.” in Proc. of Conference on Decision and Game Theory for Security (GameSec), Nov. 4-5, 2015, London, UK. DOI
  157. [C157]J. Pawlick, S. Farhang, Q. Zhu. “Flip the Cloud: Cyber-Physical Signaling Games in the Presence of Advanced Persistent Threats.” in Proc. of Conference on Decision and Game Theory for Security (GameSec), Nov. 4-5, 2015, London, UK. DOI
  158. [C158]Y. Hayel, and Q. Zhu. “Attack-Aware Cyber Insurance for Risk Sharing in Computer Networks.” in Proc. of Conference on Decision and Game Theory for Security (GameSec), Nov. 4-5, 2015, London, UK. DOI
  159. [C159]Z. Xu and Q. Zhu. “A Cyber-Physical Game Framework for Secure and Resilient Multi- Agent Autonomous Systems.” in Proc. of 54th IEEE Conference on Decision and Control (CDC), Dec. 15-18, 2015, Osaka, Japan. DOI
  160. [C160]Y. Hayel and Q. Zhu. “Evolutionary Poisson Games for Controlling Large Population Behaviors.” in Proc. of 54th IEEE Conference on Decision and Control (CDC), Dec. 15-18, 2015, Osaka, Japan. DOI
  161. [C161]W. Casey, Q. Zhu, J. Morales, B. Mishra. “Compliance Control: Managed Vulnerability Surface in Social-Technological Systems via Signaling Games.” in Proc. of International Workshop on Managing Insider Security Threats (MIST 2015), 22nd ACM Conference on Computer and Communications Security (CCS), Denver, Colorado, US, Oct. 12-16, 2015, pp. 53-62. (Best Paper Award).
  162. [C162]Z. Xu and Q. Zhu. “Secure and Resilient Control Design for Cloud Enabled Networked Control Systems.” in Proc. of Workshop on Cyber-Physical Systems Security and Privacy (CPS-SPC 2015), 22nd ACM Conference on Computer and Communications Security (CCS), Denver, Colorado, US, Oct. 12-16, 2015, pp. 31–42. DOI
  163. [C163]Z. Xu and Q. Zhu. “Environment-Aware Power Generation Scheduling in Smart Grids.” in Proc. of 6th IEEE International Conference on Smart Grid Communications (SmartGrid- Comm 2015), Miami, Florida, Nov. 2-5, 2015, pp. 253-258. DOI
  164. [C164]J. Chen and Q. Zhu. “Resilient Control Design for Wind Turbines Using Markov Jump Linear System Model with Levy Noise.” in Proc. of 6th IEEE International Conference on Smart Grid Communications (SmartGridComm 2015), Miami, Florida, Nov. 2-5, 2015, pp. 828 - 833. DOI
  165. [C165]S. Farhang, Y. Hayel, Q. Zhu. “PHY-Layer Location Privacy Preserving Access Point Selection Mechanism in Next-Generation Wireless Networks.” in Proc. of IEEE Conference on Communications and Network Security (CNS), Florence, Italy, Sept. 28-30, 2015, pp. 263 - 271. (Acceptance rate: 28.1%). DOI
  166. [C166]J. Chen and Q. Zhu. “Interdependent Network Formation Games.” SIAM Conference on Network Science, Snowbird, Utah, May 16-17, 2015.
  167. [C167]J. Chen and Q. Zhu. “Optimal Allocation of Robotic Wind Turbine Inspectors in a Wind Farm for Interdependent Resiliency.” in Proc. of IEEE PES General Meeting, Denver, CO., July 26-30, 2015, pp. 1 - 5. DOI
  168. [C168]Y. Hayel and Q. Zhu. “Resilient and secure network design for cyber attack-induced cascading link failures in critical infrastructures.” in Proc. of 49th Annual IEEE Conference on Information Sciences and Systems (CISS), Baltimore, MD, March 18–20, 2015, pp. 1-3. DOI
  169. [C169]Y. Hayel, E. Simhon, D. Starobinski, and Q. Zhu. “Distributed strategic mode selection for large-scale D2D communications based on Queue State Information.” in Proc. of 49th Annual IEEE Conference on Information Sciences and Systems (CISS), Baltimore, MD, March 18–20, 2015, pp. 1-3. DOI
  170. [C170]S. Farhang, Y. Hayel, and Q. Zhu. “Physical layer location privacy issue in wireless small cell networks.” Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks, pp. 1–2, 2015. DOI
  171. [C171]A. Qasim, R. Yousefian, E. Al-Shaer, S. Kamalasadan, and Q. Zhu. “Two-Tier Data-Driven Intrusion Detection for Automatic Generation Control in Smart Grid.” In Proc. of 2014 IEEE Conference on Communications and Network Security (CNS), pp. 292-300, 2014. (Acceptance rate: 29%). DOI
  172. [C172]F. Miao, Q. Zhu, M. Pajic and G.J. Pappas. “Coding Sensor Outputs for Injection Attacks Detection.” in Proc. of IEEE 53rd Annual Conference on Decision and Control (CDC), pp. 5776–5781, Dec. 2014. DOI
  173. [C173]F. Miao, Q. Zhu. “A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber- Physical Systems.” in Proc. of IEEE 53rd Annual Conference on Decision and Control (CDC), pp. 517–522, Dec. 2014. DOI
  174. [C174]S. Farhang, M. H. Manshaei, M. N. Esfahani, and Q. Zhu. “A Dynamic Bayesian Security Game Framework for Strategic Defense Mechanism Design.” Lecture Notes in Computer Science, pp. 319–328, 2014. DOI
  175. [C175]G. Dan, K.-S. Lui, T. Rehana, Q. Zhu and K. Nahrstedt. “SELINDA: A Secure, Scalable and Light-Weight Data Collection Protocol for Smart Grids.” in Proc. of IEEE SmartGridComm 2013, Vancouver, BC, Canada. DOI
  176. [C176]Q. Zhu and L. Bushnell. “Interdependent Security and Robustness of Networked Multi-Agent Cyber-Physical System.” in Proc. of 51st Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2013.
  177. [C177]M. Zyskowski and Q. Zhu. “Price and Variance of Anarchy in Mean-Variance Cost Density- Shaping Stochastic Differential Games.” in Proc. of Conference on Decisions and Control Conference (CDC), Florence, Italy, 2013. DOI
  178. [C178]Q. Zhu, A. Clark, R. Poovendran and T. Başar. “Deployment and Exploitation of Deceptive Honeybots in Social Networks.” in Proc. of Conference on Decisions and Control Conference (CDC), Florence, Italy, 2013. DOI
  179. [C179]Y. Yuan, Q. Zhu, F. Sun and T. Başar. “Resilient Control of Cyber-Physical Systems against Denial-of-Service Attacks.” in Proc. of the 6th Intl. Symposium on Resilient Control Systems (ISRCS), San Francisco, CA, Aug. 12 - 15, 2013. DOI
  180. [C180]C. Rieger and Q. Zhu. “A Hierarchical Multi-Agent Dynamical System Architecture for Resilient Control Systems.” in Proc. of the 6th Intl. Symposium on Resilient Control Systems (ISRCS), San Francisco, CA, Aug. 12 - 15, 2013. DOI
  181. [C181]E. Gubar and Q. Zhu. “Optimal Control of Influenza Epidemic Model with Virus Mutations.” in Proc. of European Control Conference (ECC), Zurich, Switzerland, 2013. DOI
  182. [C182]Q. Zhu, L. Bushnell and T. Başar. “Resilient Distributed Control of Multi-Agent Cyber- Physical Systems.” accepted and to appear in Proc. Annual Conference on Information Sciences and Systems (CISS), John Hopkins University, 2013. DOI
  183. [C183]Q. Zhu, P. Sauer and T. Başar. “Value of demand response in the smart grid.” in Proc. IEEE Power and Energy Conference at Illinois (PECI), 2013. DOI
  184. [C184]A. Clark, Quanyan Zhu, R. Poovendran, and T. Basar. “An impact-aware defense against Stuxnet.” American Control Conference (ACC), Washington, DC, USA, June 17-19, 2013, pp. 4140–4147. DOI
  185. [C185]Quanyan Zhu, and L. Bushnell. “Networked cyber-physical systems: Interdependence, resilience and information exchange.” 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 763–769, 2013. DOI
  186. [C186]A. Clark, Q. Zhu, R. Poovendran and T. Başar. “Deceptive Routing in Relay Networks.” in Proc. of Conference on Decision and Game Theory for Security (GameSec), Nov. 5-6, 2012, Budapest, Hungary. DOI
  187. [C187]Q. Zhu, C. Gunter and T. Başar. “Tragedy of Anti-Commons in Digital Right Management of Medical Records.” in Proc. of 3rd USENIX Workshop on Health Security and Privacy (HealthSec ’12), Aug. 6 – 7, 2012, Bellevue, W A.
  188. [C188]Q. Zhang, M. F. Zhani, S. Zhang, Q. Zhu, R. Boutaba and J. L. Hellerstein. “Dynamic Energy-Aware Capacity Provisioning for Cloud Computing Environments.” in Proc. of the 9th International Conference on Autonomic Computing (ICAC), San Jose, California, USA September 17-21, 2012. DOI
  189. [C189]C. Rieger, Q. Zhu and T. Başar. “Agent-Based Cyber Control Strategy Design for Resilient Control Systems: Concepts, Architecture and Methodologies.” in Proc. of the 5th Intl. Symposium on Resilient Control Systems (ISRCS), Salt Lake City, UT, Aug. 14 - 16, 2012. DOI
  190. [C190]Q. Zhu, L. Bushnell and T. Başar. “Game-Theoretic Analysis of Node Capture and Cloning Attack with Multiple Attackers in Wireless Sensor Networks.” in Proc. of 51st IEEE Conference on Decision and Control (CDC), Maui, Hawaii, Dec. 10 - 13, 2012. DOI
  191. [C191]Q. Zhu, A. Clark, R. Poovendran and T. Başar. “Deceptive Routing Games.” in Proc. of 51st IEEE Conference on Decision and Control (CDC), Maui, Hawaii, Dec. 10 - 13, 2012. DOI
  192. [C192]J. Sebestik and Q. Zhu. “An Interactive K-12 Engineering Curriculum on Renewable Sources and Energy Storage in Power Systems.” in Proc. of 2012 Annual Conference of American Society of Engineering Education (ASEE), San Antonio. June 10 - 13, 2012. DOI
  193. [C193]Q. Zhu and T. Başar. “A Dynamic Game-Theoretic Approach to Resilient Control System Design for Cascading Failures.” in Proc. of International Conference on High Confidence Networked Systems (HiCoNS) at CPSWeek 2012, in Beijing, China. DOI
  194. [C194]Q. Zhu, Z. Han, and T. Başar. “A Differential Game Approach to Distributed Demand Side Management in Smart Grid.” Proc. IEEE International Conference on Communications (ICC) – Selected Areas in Communications Symposium (ICC’12 SAC), Ottawa, Canada, June 10 - 15, 2012. DOI
  195. [C195]Q. Zhu, J. Zhang, P. Sauer, A. Dominguez-Garcia and T. Başar. “A Game-Theoretic Framework for Control of Distributed Renewable-based Energy Resources in Smart Grids.” Proc. 2012 American Control Conference (ACC), Montreal, Canada. June 27 - 29, 2011. DOI
  196. [C196]D. Bauso, Q. Zhu and T. Başar. “Mixed Integer Optimal Compensation: Decompositions and Mean-field Approximations.” Proc. 2012 American Control Conference (ACC), Montreal, Canada. June 27 - 29, 2011. DOI
  197. [C197]Q. Zhu and T. Başar. “A Multi-Resolution Large Population Game Framework for Smart Grid Demand Response Management.” in Proc. of Intl. Conference on Network Games, Control and Optimization (NETGCOOP 2011), Paris, France. Oct. 12 - 14, 2011.
  198. [C198]Q. Zhu and T. Başar. “Indices of Power in Optimal IDS Default Configuration: Theory and Examples.” in Proc. of GameSec 2011 (Conference on Decision and Game Theory for Security), November 14-15, 2011, University of Maryland, College Park, MD. DOI
  199. [C199]Q. Zhang, Q. Zhu and R. Boutaba. “Dynamic Resource Allocation for Spot Markets in Cloud Computing Environments.” in Proc. of 4th IEEE Intl. Conference on Utility and Cloud Computing (UCC 2011), Melbourne, Australia Dec. 5 - 8, 2011. DOI
  200. [C200]Q. Zhu, W. Saad, Z. Han, H. V. Poor and T. Başar. “Eavesdropping and Jamming in Next- Generation Wireless Networks: A Game-Theoretic Approach.” in Proc. of IEEE Military Communications Conference (MILCOM), Baltimore, MD, Nov. 7 - 10, 2011. DOI
  201. [C201]C. Fung, Q. Zhu, R. Boutaba and T. Başar. “SMURFEN: A Framework of Knowledge Sharing for Collaborative Intrusion Detection.” in Proc. of International Conference on Network and Service Management (CNSM 2011), Paris, France, Oct. 24 - 28, 2011.
  202. [C202]Q. Zhu, C. Rieger and T. Başar. “A Hierarchical Security Architecture for Cyber-Physical Systems.” in Proc. of the 4th Intl. Symposium on Resilient Control Systems (ISRCS), Boise, ID, Aug. 9 - 11, 2011. (Best T rack Paper Award). DOI
  203. [C203]Q. Zhu, J. B. Song and T. Başar. “Dynamic Secure Routing Game in Distributed Cognitive Radio Networks.” in Proc. of IEEE Global Communications Conference (GLOBECOM), Houston, Texas, Dec. 5 - 9, 2011. DOI
  204. [C204]Q. Zhu and T. Başar. “Robust and Resilient Control Design for Cyber-Physical Systems with an Application to Power Systems.” in Proc. of 50th IEEE Conference on Decision and Control and European Control Conference (CDC/ECC), Orlando, Florida, Dec. 12 - 15, 2011. DOI
  205. [C205]Q. Zhu, H. Tembine, and T. Başar. “Hybrid Risk-Sensitive Mean-Field Stochastic Differential Games with Application to Molecular Biology.” in Proc. of 50th IEEE Conference on Decision and Control and European Control Conference (CDC/ECC), Orlando, Florida, Dec. 12 - 15, 2011. DOI
  206. [C206]Q. Zhu, C. Fung, R. Boutaba and T. Başar. “A Game-Theoretic Approach to Knowledge Sharing in Distributed Collaborative Intrusion Detection Networks: Fairness, Incentives and Security.” in Proc. of 50th IEEE Conference on Decision and Control and European Control Conference (CDC/ECC), Orlando, Florida, Dec. 12 - 15, 2011.
  207. [C207]Y. Liu, J. Zhang and Q. Zhu. “Design of a Reputation System based on Dynamic Coalition Formation.” in Proc. of 3rd Intl. Conf. on Social Informatics (SocInfo’11), Oct. 6 - 8, 2011, Singapore. DOI
  208. [C208]Q. Zhu. “Nash Meets van Valkenburg: A Game-Theoretic Approach to Effective Learning and Teaching in Engineering.” in Proc. of IEEE Conference on Frontier in Education (FIE), Rapid City, South Dakota, October 12 - 15, 2011. DOI
  209. [C209]Q. Zhu and T. Başar. “Towards a Unifying Security Framework for Cyber-Physical Systems.” in Proc. of Workshop on the Foundations of Dependable and Secure Cyber-Physical Systems (FDSCPS-11), CPSWeek 2011, Chicago.
  210. [C210]Q. Zhu, D. Wei and T. Başar. “Secure Routing in Smart Grids.” in Proc. of Workshop on the Foundations of Dependable and Secure Cyber-Physical Systems (FDSCPS-11), CPSWeek 2011, Chicago.
  211. [C211]Q. Zhu, M. McQueen, C. Rieger and T. Başar. “Management of Control System Information Security: Control System Patch Management.” in Proc. of Workshop on the Foundations of Dependable and Secure Cyber-Physical Systems (FDSCPS-11), CPSWeek 2011, Chicago.
  212. [C212]Q. Zhu, H. Tembine and T. Başar. “Distributed Strategic Learning with Application to Network Security.” in Proc. of American Control Conference (ACC), 2011. DOI
  213. [C213]H. Sun, Q. Zhu, N. Hovakimyan and T. Başar. “L1 Adaptive Control for Positive Systems.” in Proc. of American Control Conference (ACC), 2011. DOI
  214. [C214]H. Tembine, Q. Zhu and T. Başar. “Risk-Sensitive Mean-Field Stochastic Differential Games.” in Proc. of IFAC World Congress 2011. DOI
  215. [C215]Q. Zhu, C. Fung, R. Boutaba, and T. Basar. “A game-theoretic approach to rule sharing mechanism in networked intrusion detection systems: Robustness, incentives and security.” IEEE Conference on Decision and Control and European Control Conference, pp. 243–248, 2011. DOI
  216. [C216]Q. Zhu, H. Tembine and T. Başar. “Heterogeneous Learning in Zero-Sum Stochastic Games with Incomplete Information.” in Proc. of 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, 2010. DOI
  217. [C217]Q. Zhu, Z. Yuan, J. B. Song, Z. Han, and T. Başar. “Dynamic Interference Minimization Routing Game for On-Demand Cognitive Pilot Channel.” in Proc. of IEEE Global Communication Conference (GLOBECOM), Miami, FL, 2010. DOI
  218. [C218]Q. Zhu, C. Fung, R. Boutaba and T. Başar. “A Distributed Sequential Algorithm for Collaborative Intrusion Detection Networks.” in Proc. of 2010 IEEE International Communications Conference (ICC), Cape Town, South Africa. DOI
  219. [C219]Q. Zhu, H. Li, Z. Han and T. Başar. “A Stochastic Game Model for Jamming in Multi- Channel Cognitive Radio Systems.” in Proc. of 2010 IEEE International Communications Conference (ICC), Cape Town, South Africa. DOI
  220. [C220]Q. Zhu, Z. Han and T. Başar. “No-Regret Learning in Collaborative Spectrum Sensing with Malicious Nodes.” in Proc. of 2010 IEEE International Communications Conference (ICC), Cape Town, South Africa. DOI
  221. [C221]J. Huang, Q. Zhu, T. Başar and V. Krishnamurthy. “Distributed Correlated Q-learning in Dynamic Transmission Control of Sensor Networks.” in Proc. of 2010 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, TX, 2010. DOI
  222. [C222]Q. Zhu and T. Başar. “Price of Anarchy and Price of Information in Linear Quadratic Differential Games.” in Proc. of 2010 American Control Conference (ACC), Baltimore, MD, 2010. DOI
  223. [C223]Q. Zhu, H. Tembine and T. Başar. “Network Security Configuration: A Nonzero-Sum Stochastic Game Approach.” in IEEE Proc. of 2010 American Control Conference (ACC), Baltimore, MD, 2010. DOI
  224. [C224]C. Fung, Q. Zhu, R. Boutaba and T. Başar. “Bayesian Decision Aggregation in Collaborative Intrusion Detection Networks.” in Proc. of 2010 IEEE/IFIP Network Operations and Management Symposium (NOMS), Osaka, Japan. DOI
  225. [C225]W. Saad, Q. Zhu, T. Başar, Z. Han and A. Hjorungnes. “Hierarchical Network Formation Games in the Uplink of Multi-Hop Wireless Networks.” in Proc. of IEEE Global Communications Conference (GLOBECOM), Honolulu, Hawaii, Dec. 2009. DOI
  226. [C226]Q. Zhu, H. Tembine and T. Başar. “Evolutionary Game for Hybrid Additive White Gaussian Noise Multiple Access Control.” in Proc. of IEEE Global Communications Conference (GLOBECOM), Honolulu, Hawaii, Dec. 2009. DOI
  227. [C227]Q. Zhu and T. Başar. “Dynamic Policy-Based IDS Configuration.” in Proc. of 48th IEEE Conference on Decision and Control (CDC), Shanghai, China, Dec. 2009. DOI
  228. [C228]W. Chen, D. Huang, A. Kulkarni, J. Unnikrishnan, Q. Zhu, P. G. Mehta, S. Meyn, A. Wierman. “Approximate Dynamic Programming Using Fluid and Diffusion Approximations with Applications to Power Management.” in Proc. of 48th IEEE Conference on Decision and Control (CDC), Shanghai, China, Dec. 2009. DOI
  229. [C229]Q. Zhu, C. Fung, R. Boutaba, T. Başar. “A Game-Theoretical Approach to Incentive Design in Collaborative IDS Networks.” in Proc. of International Conference on Game Theory for Networks (GameNets), Istanbul, Turkey, May 13-15, 2009, pp. 384–392. DOI
  230. [C230]Q. Zhu, H. Tembine, T. Başar. “A Constrained Evolutionary Gaussian Multiple Access Channel Game.” in Proc. of International Conference on Game Theory for Networks (GameNets), Istanbul, Turkey, May 13 - 15, 2009, pp. 403–410. DOI
  231. [C231]Q. Zhu. “A Lagrangian Approach to Constrained Potential Games: Theory and Example.” in Proc. of 47th IEEE Conference on Decision and Control (CDC), 9-11 Dec. 2008, pp. 2420–2425. DOI
  232. [C232]Q. Zhu and R. Boutaba. “Nonlinear Quadratic Pricing for Concavifiable Utilities in Network Rate Control.” in Proc. of IEEE Global Communications Conference (GLOBECOM), New Orleans, LA, 30 Nov. - 4 Dec. 2008, pp. 1–6. DOI
  233. [C233]Q. Zhu and L. Pavel. “Differentiated Services in Power Management of WDM Optical Networks.” in Proc. of IEEE International Conference on Communications (ICC), Beijing, China, May 19 - 23, 2008, pp. 5344–5348. DOI
  234. [C234]Q. Zhu and L. Pavel. “Control-Theoretic Approach to Unconstrained Pricing Problem in Optical Power Control Nash Game.” in Proc. of IFAC World Congress, Seoul, Korea, 2008.
  235. [C235]Q. Zhu. “A Trade-off Study between Efficiency and Fairness in Communication Networks.” in Proc. of IEEE International Conference on Computer Communications (INFOCOM) Student Workshop, April 13 - 18, 2008, pp. 1–2. DOI
  236. [C236]Q. Zhu, and L. Pavel. “State-space Approach to Pricing Design in OSNR Nash Game.” IFAC Proceedings Volumes, pp. 12001–12006, 2008. DOI
  237. [C237]Q. Zhu and L. Pavel. “Pricing Design of Power Control Game in WDM Optical Networks via State-Space Approach.” in Proc. of IEEE Global Communications Conference (GLOBE- COM), Nov. 26 - 30, 2007, pp. 1–6. DOI
  238. [C238]Q. Zhu and L. Pavel. “End-to-End Link Power Control in Optical Networks Using Nash Bargaining Solution.” in Proc. of the First International Workshop on Game Theory for Communication Networks (GameComm), 2007. DOI
  239. [C239]J. C.W. Ho, Q. Zhu, and R. Abhari. “Modeling of Transmission Lines with Textured Ground Planes and Investigation of Data Transmission by Generating Eye Diagram.” in Proc. of IEEE 13th Topical Meeting on Electrical Performance of Electronic Packaging (EPEP), pp. 195–198, 2004. DOI
  240. [C240]Q. Zhu and L. Pavel. “Solving Constrained OSNR Nash Game in WDM Optical Networks with a Fictitious Player.” in Proc. of IEEE 4th International Conference on Broadband Communications, Networks and Systems (Broadnets), Sept. 10-14, 2007, pp. 1984–1992. DOI
  241. [C241]Q. Zhu and L. Pavel. “Theory of Linear Games with Constraints and Its Application to Power Control of Optical Networks.” in Proc. of 27th IEEE International Conference on Computer Communications (INFOCOM) mini-conference, April 13 - 18, 2008, pp. 1984–1992. DOI
  242. [C242]Q. Zhu and L. Pavel. “Stackelberg Game Approach to Constrained OSNR Nash Game.” in Proc. of American Control Conference (ACC), Seattle, Washington, June 11-13, 2008, pp. 1967–1972. DOI
  243. [C243]Q. Zhu and T. Başar. “Game-Theoretic Approach to Feedback-Driven Multi-Stage Moving Target Defense.” in Proc. of Conference on Decision and Game Theory for Security (GameSec), Fort Worth, TX, USA, Nov. 11-12. DOI

Recent Working Papers

  1. [WP1]Q. Zhu, “From Optimal Transport to Optimal Quantization: A Variational Study of the Witsenhausen Counterexample,” arXiv:2609.18992, 2026.
  2. [WP2]P. Jiang, X. Zhu, and Q. Zhu, “Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems,” arXiv:2607.18255, 2026.
  3. [WP3]Q. Zhu, “AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation,” arXiv:2607.13230, 2026.
  4. [WP4]Q. Zhu, “Controlling Agentic AI: Game-Theoretic Foundations of Coordination and Competition in LLM Multi-Agent Systems,” LSU Symposium on Control, Learning, and Intelligent Systems, 2026. DOI
  5. [WP5]Q. Zhu, “Understanding Censorship in Large Language Models: From Mechanisms to Governance,” arXiv:2606.30661, 2026.
  6. [WP6]Q. Zhu, “LLM Semantic Signaling Game and Mechanism Design: Systematic Blindness, Awareness Shaping, and Mindset Dynamics,” arXiv:2606.29113, 2026.
  7. [WP7]A. T. Nguyen and Q. Zhu, “Divergence-based Safety Measure for Large Language Models via Rational Inattention,” arXiv:2606.29081, 2026.
  8. [WP8]Q. Zhu, “Exit-and-Join Dynamics and Equilibrium in Continuum Cooperative Games,” arXiv:2606.28824, 2026.
  9. [WP9]Q. Zhu, “Multiscale Exit-Join Dynamics: Tactical Consensus and Strategic Coalition Formation,” arXiv:2606.26139, 2026.
  10. [WP10]Q. Zhu, “AI Tokenomics: The Economics of Tokens, Computation, and Pricing in Foundation Models,” arXiv:2606.24616, 2026.
  11. [WP11]Q. Zhu, “Exit-and-Join Dynamics for Decentralized Coalition Formation,” arXiv:2606.19683, 2026.
  12. [WP12]Q. Zhu, “A Variational Framework for LLM Generator-Regulator Games,” arXiv:2606.18424, 2026.
  13. [WP13]Q. Zhu, “Agentomics: Economic Foundations for the Valuation, Attribution, and Pricing of AI Agents in Human-AI Workflows,” arXiv:2606.14769, 2026.
  14. [WP14]Q. Zhu, “The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale,” arXiv:2606.12835, 2026.
  15. [WP15]Q. Zhu, “Insurance of Agentic AI,” arXiv:2606.05449, 2026.
  16. [WP16]Z. Han and Q. Zhu, “RCSP: Risk-Sensitive Conjectural Scenario Planning for Safe Dynamic Robot Navigation,” arXiv:2605.26348, 2026.
  17. [WP17]Y. T. Yang and Q. Zhu, “Toward Reliable Design of LLM-Enabled Agentic Workflows: Optimizing Latency-Reliability-Cost Tradeoffs,” arXiv:2605.23929, 2026.
  18. [WP18]T. Başar, T. Hayakawa, H. Ishii, and Q. Zhu, “Cooperative and Noncooperative Paradigms for Game-Theoretic Control of Socio-Technical Systems,” arXiv:2605.17886, 2026.
  19. [WP19]Z. S. Chen and Q. Zhu, “A Theory of Multilevel Interactive Equilibrium in NeuroAI,” arXiv:2605.10505, 2026.
  20. [WP20]Q. Zhu and Z. Han, “A Mathematical Programming Approach to Computing and Learning Berk–Nash Equilibria in Infinite-Horizon MDPs,” arXiv:2603.13641, 2026.
  21. [WP21]T. Li and Q. Zhu, “Agentic AI for Cyber Resilience: A New Security Paradigm and Its System-Theoretic Foundations,” arXiv:2512.22883, 2025.
  22. [WP22]Y. Pan and Q. Zhu, “Bayesian Holonic Systems: Equilibrium, Uniqueness, and Computation,” arXiv:2512.18112, 2025.
  23. [WP23]Y. T. Yang and Q. Zhu, “Toward a Multi-Echelon Cyber Warfare Theory: A Meta-Game-Theoretic Paradigm for Defense and Dominance,” arXiv:2509.08976, 2025.
  24. [WP24]Y. T. Yang and Q. Zhu, “Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage,” arXiv:2509.05498, 2025.
  25. [WP25]Q. Zhu, “Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats,” arXiv:2507.10621, 2025.
  26. [WP26]Q. Zhu, “LLM-Stackelberg Games: Conjectural Reasoning Equilibria and Their Applications to Spearphishing,” arXiv:2507.09407, 2025.
  27. [WP27]Q. Zhu, “Reasoning and Behavioral Equilibria in LLM-Nash Games: From Mindsets to Actions,” arXiv:2507.08208, 2025.
  28. [WP28]Z. Han and Q. Zhu, “Toward a Dynamic Stackelberg Game-Theoretic Framework for Agentic AI Defense Against LLM Jailbreaking,” arXiv:2507.08207, 2025.
  29. [WP29]T. Li, Y. T. Yang, Y. Pan, and Q. Zhu, “From Texts to Shields: Convergence of Large Language Models and Cybersecurity,” arXiv:2505.00841, 2025.
  30. [WP30]L. Zhang, Q. Zhu, H. Ray, and Y. Xie, “Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning,” arXiv:2501.16393, 2025.