activity
20192022
most citedDeceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals

14 citations · 44 across the 17 of their papers we have counts for

collaborators

17 papers

math.OC2022

The Inverse Problem of Linear-Quadratic Differential Games: When is a Control Strategies Profile Nash?

Yunhan Huang, Tao Zhang, Quanyan Zhu

This paper aims to formulate and study the inverse problem of non-cooperative linear quadratic games: Given a profile of control strategies, find cost parameters for which this pro…

eess.SY2022

Reinforcement Learning for Linear Quadratic Control is Vulnerable Under Cost Manipulation

Yunhan Huang, Quanyan Zhu

In this work, we study the deception of a Linear-Quadratic-Gaussian (LQG) agent by manipulating the cost signals. We show that a small falsification of the cost parameters will onl…

cs.CR2021★ 4 cited

Reinforcement Learning for Feedback-Enabled Cyber Resilience

Yunhan Huang, Linan Huang, Quanyan Zhu

Digitization and remote connectivity have enlarged the attack surface and made cyber systems more vulnerable. As attackers become increasingly sophisticated and resourceful, mere r…

eess.SY2021★ 2 cited

Game-Theoretic Frameworks for Epidemic Spreading and Human Decision Making: A Review

Yunhan Huang, Quanyan Zhu

This review presents and reviews various solved and open problems in developing, analyzing, and mitigating epidemic spreading processes under human decision-making. We provide a re…

eess.SY2021

Transactive Resilience in Renewable Microgrids: A Contract-Theoretic Approach

Juntao Chen, Yunhan Huang, Quanyan Zhu

Renewable energy-based microgrids play a critical role in future smart grids. Due to the uncertainties of renewable generations, the microgrids face potential risk of load shedding…

eess.SY2021

Assets Defending Differential Games with Partial Information and Selected Observations

Yunhan Huang, Juntao Chen, Quanyan Zhu

In this paper, we consider a linear-quadratic-Gaussian defending assets differential game (DADG) where the attacker and the defender do not know each other's state information whil…

eess.SY2021

Self-Triggered Markov Decision Processes

Yunhan Huang, Quanyan Zhu

In this paper, we study Markov Decision Processes (MDPs) with self-triggered strategies, where the idea of self-triggered control is extended to more generic MDP models. This exten…

eess.SY2021★ 7 cited

A Pursuit-Evasion Differential Game with Strategic Information Acquisition

Yunhan Huang, Quanyan Zhu

This paper studies a two-person linear-quadratic-Gaussian pursuit-evasion differential game with costly but controlled information. One player can decide when to observe the other…

eess.SY2020★ 5 cited

Infinite-Horizon Linear-Quadratic-Gaussian Control with Costly Measurements

Yunhan Huang, Quanyan Zhu

In this paper, we consider an infinite horizon Linear-Quadratic-Gaussian control problem with controlled and costly measurements. A control strategy and a measurement strategy are…

eess.SY2020★ 5 cited

Cross-Layer Coordinated Attacks on Cyber-Physical Systems: A LQG Game Framework with Controlled Observations

Yunhan Huang, Zehui Xiong, Quanyan Zhu

This work establishes a game-theoretic framework to study cross-layer coordinated attacks on cyber-physical systems (CPSs). The attacker can interfere with the physical process and…

eess.SY2020★ 2 cited

Optimal Curing Strategy for Competing Epidemics Spreading over Complex Networks

Juntao Chen, Yunhan Huang, Rui Zhang +1

Optimal curing strategy of suppressing competing epidemics spreading over complex networks is a critical issue. In this paper, we first establish a framework to capture the couplin…

cs.LG2020★ 4 cited

Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals

Yunhan Huang, Quanyan Zhu

This chapter studies emerging cyber-attacks on reinforcement learning (RL) and introduces a quantitative approach to analyze the vulnerabilities of RL. Focusing on adversarial mani…

eess.SY2019

Optimal Demand Response and Supply Schedule Under Market-Driven Price: A Stackelberg Dynamic Game Approach

Yunhan Huang

In this work, we use a Stackelberg infinite discrete-time dynamic game model to study the optimal supply schedule and the optimal demand response under a market-driven dynamic pric…

eess.SY2019

Dynamic Games for Secure and Resilient Control System Design

Yunhan Huang, Juntao Chen, Linan Huang +1

Modern control systems are featured by their hierarchical structure composing of cyber, physical, and human layers. The intricate dependencies among multiple layers and units of mo…

math.OC2019★ 1 cited

Continuous-Time Markov Decision Processes with Controlled Observations

Yunhan Huang, Veeraruna Kavitha, Quanyan Zhu

In this paper, we study a continuous-time discounted jump Markov decision process with both controlled actions and observations. The observation is only available for a discrete se…

cs.LG2019★ 14 cited

Deceptive Reinforcement Learning Under Adversarial Manipulations on Cost Signals

Yunhan Huang, Quanyan Zhu

This paper studies reinforcement learning (RL) under malicious falsification on cost signals and introduces a quantitative framework of attack models to understand the vulnerabilit…

math.OC2019

A Differential Game Approach to Decentralized Virus-Resistant Weight Adaptation Policy over Complex Networks

Yunhan Huang, Quanyan Zhu

Increasing connectivity of communication networks enables large-scale distributed processing over networks and improves the efficiency for information exchange. However, malware an…