Tao Zhang

Orcid: 0000-0002-1454-4645

Affiliations:
  • New York University, Tandon School of Engineering, Brooklyn, NY, USA


According to our database1, Tao Zhang authored at least 23 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Multiagent Incentive Design for Dynamic Task Delegation with Off-Menu Actions.
CoRR, 2023

A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd.
Proceedings of the Decision and Game Theory for Security: 14th International Conference, 2023

Stochastic Game with Interactive Information Acquisition: A Fixed-Point Alignment Principle.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022
On Incentive Compatibility in Dynamic Mechanism Design With Exit Option in a Markovian Environment.
Dyn. Games Appl., 2022

Forward-Looking Dynamic Persuasion for Pipeline Stochastic Bayesian Game: A Fixed-Point Alignment Principle.
CoRR, 2022

Bayesian Promised Persuasion: Dynamic Forward-Looking Multiagent Delegation with Informational Burning.
CoRR, 2022

The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Informational Design of Dynamic Multi-Agent System.
CoRR, 2021

On the Equilibrium Elicitation of Markov Games Through Information Design.
CoRR, 2021

On the Differential Private Data Market: Endogenous Evolution, Dynamic Pricing, and Incentive Compatibility.
CoRR, 2021

2020
Differentially Private Collaborative Intrusion Detection Systems For VANETs.
CoRR, 2020

Implementability of Honest Multi-Agent Sequential Decision-Making with Dynamic Population.
CoRR, 2020

A Data-Driven Distributionally Robust Game Using Wasserstein Distance.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Distributed Multi-Battery Coordination for Cooperative Energy Management via ADMM-based Iterative Learning.
Proceedings of the 2020 American Control Conference, 2020

2019
Optimal Two-Sided Market Mechanism Design for Large-Scale Data Sharing and Trading in Massive IoT Networks.
CoRR, 2019

Game-Theoretic Analysis of Cyber Deception: Evidence-Based Strategies and Dynamic Risk Mitigation.
CoRR, 2019

2018
Distributed Privacy-Preserving Collaborative Intrusion Detection Systems for VANETs.
IEEE Trans. Signal Inf. Process. over Networks, 2018

A Game-Theoretic Foundation of Deception: Knowledge Acquisition and Fundamental Limits.
CoRR, 2018

Hypothesis Testing Game for Cyber Deception.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

2017
Dynamic Differential Privacy for ADMM-Based Distributed Classification Learning.
IEEE Trans. Inf. Forensics Secur., 2017

Strategic Defense Against Deceptive Civilian GPS Spoofing of Unmanned Aerial Vehicles.
Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

2016
Dynamic Privacy For Distributed Machine Learning Over Network.
CoRR, 2016

A Dual Perturbation Approach for Differential Private ADMM-Based Distributed Empirical Risk Minimization.
Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016


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