A Dual Perturbation Approach for Differential Private ADMM-Based Distributed Empirical Risk Minimization. - Tao Zhang 011; Quanyan Zhu (AISec@CCS, 2016)

Dynamic Privacy For Distributed Machine Learning Over Network. - Tao Zhang 011; Quanyan Zhu (CoRR, 2016)

Strategic Defense Against Deceptive Civilian GPS Spoofing of Unmanned Aerial Vehicles. - Tao Zhang 011; Quanyan Zhu (GameSec, 2017)

Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning. - Tao Zhang 011; Quanyan Zhu (IEEE Trans. Inf. Forensics Secur., 2017)

Hypothesis Testing Game for Cyber Deception. - Tao Zhang 011; Quanyan Zhu (GameSec, 2018)

A Game-Theoretic Foundation of Deception: Knowledge Acquisition and Fundamental Limits. - Tao Zhang 011; Quanyan Zhu (CoRR, 2018)

Distributed Privacy-Preserving Collaborative Intrusion Detection Systems for VANETs. - Tao Zhang 011; Quanyan Zhu (IEEE Trans. Signal Inf. Process. over Networks, 2018)

Game-Theoretic Analysis of Cyber Deception: Evidence-Based Strategies and Dynamic Risk Mitigation. - Tao Zhang 011; Linan Huang; Jeffrey Pawlick; Quanyan Zhu (CoRR, 2019)

Optimal Two-Sided Market Mechanism Design for Large-Scale Data Sharing and Trading in Massive IoT Networks. - Tao Zhang 011; Quanyan Zhu (CoRR, 2019)

Distributed Multi-Battery Coordination for Cooperative Energy Management via ADMM-based Iterative Learning. - Yun Li; Tao Zhang 011; Quanyan Zhu (ACC, 2020)

A Data-Driven Distributionally Robust Game Using Wasserstein Distance. - Guanze Peng; Tao Zhang 011; Quanyan Zhu (GameSec, 2020)

Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population. - Tao Zhang 011; Quanyan Zhu (CoRR, 2020)

Differentially Private Collaborative Intrusion Detection Systems For VANETs. - Tao Zhang 011; Quanyan Zhu (CoRR, 2020)

On the Differential Private Data Market: Endogenous Evolution, Dynamic Pricing, and Incentive Compatibility. - Tao Zhang 011; Quanyan Zhu (CoRR, 2021)

On the Equilibrium Elicitation of Markov Games Through Information Design. - Tao Zhang 011; Quanyan Zhu (CoRR, 2021)

Informational Design of Dynamic Multi-Agent System. - Tao Zhang 011; Quanyan Zhu (CoRR, 2021)

The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash? - Yunhan Huang; Tao Zhang 011; Quanyan Zhu (Allerton, 2022)

Bayesian Promised Persuasion: Dynamic Forward-Looking Multiagent Delegation with Informational Burning. - Tao Zhang 011; Quanyan Zhu (CoRR, 2022)

Forward-Looking Dynamic Persuasion for Pipeline Stochastic Bayesian Game: A Fixed-Point Alignment Principle. - Tao Zhang 011; Quanyan Zhu (CoRR, 2022)

On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment. - Tao Zhang 011; Quanyan Zhu (Dyn. Games Appl., 2022)

Stochastic Game with Interactive Information Acquisition: A Fixed-Point Alignment Principle. - Tao Zhang 011; Quanyan Zhu (Allerton, 2023)

A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd. - Ya-Ting Yang; Tao Zhang 011; Quanyan Zhu (GameSec, 2023)

Multiagent Incentive Design for Dynamic Task Delegation with Off-Menu Actions. - Tao Zhang 011; Quanyan Zhu (CoRR, 2023)

Herd Accountability of Privacy-Preserving Algorithms: A Stackelberg Game Approach. - Ya-Ting Yang; Tao Zhang 011; Quanyan Zhu (IEEE Trans. Inf. Forensics Secur., 2025)