11 citations · 15 across the 28 of their papers we have counts for
33 papers
A Unified Variational Design of Predictive Mirror Descent in Convex Games under Stochastic Feedback
Yunian Pan, Tao Li, Quanyan Zhu
Mirror descent provides a geometric framework for learning in games, but its last-iterate behavior can fail in weakly stable regimes, where the dynamics may exhibit rotational or r…
Internet of Agentic AI: Incentive-Compatible Distributed Teaming and Workflow
Ya-Ting Yang, Quanyan Zhu
Large language models (LLMs) have enabled a new class of agentic AI systems that reason, plan, and act by invoking external tools. However, most existing agentic architectures rema…
Bayesian Holonic Systems: Equilibrium, Uniqueness, and Computation
Yunian Pan, Quanyan Zhu
This paper addresses the challenge of modeling and control in hierarchical, multi-agent systems, known as holonic systems, where local agent decisions are coupled with global syste…
Timing-Aware Two-Player Stochastic Games with Self-Triggered Control
Yunian Pan, Quanyan Zhu
We study self-triggered two-player stochastic games on Piecewise Deterministic Markov Processes (PDMPs) where each agent decides when to observe and which open-loop action to hold.…
Decentralized No-Regret Frequency-Time Scheduling for FMCW Radar Interference Avoidance
Yunian Pan, Jun Li, Lifan Xu +2
Automotive FMCW radars are indispensable to modern ADAS and autonomous-driving systems, but their increasing density has intensified the risk of mutual interference. Existing mitig…
A Games-in-Games Paradigm for Strategic Hybrid Jump-Diffusions: Hamilton-Jacobi-Isaacs Hierarchy and Spectral Structure
Yunian Pan, Quanyan Zhu
This paper develops a hierarchical games-in-games control architecture for hybrid stochastic systems governed by regime-switching jump-diffusions. We model the interplay between co…
Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis
Brandon Beltz, Po-Yu Chen, James Doty +16
This paper introduces GAMBiT (Guarding Against Malicious Biased Threats), a cognitive-informed cyber defense framework that leverages deviations from human rationality as a new def…
Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage
Ya-Ting Yang, Quanyan Zhu
Cognitive vulnerabilities shape human decision-making and arise primarily from two sources: (1) cognitive capabilities, which include disparities in knowledge, education, expertise…
Toward a Multi-Echelon Cyber Warfare Theory: A Meta-Game-Theoretic Paradigm for Defense and Dominance
Ya-Ting Yang, Quanyan Zhu
Cyber warfare has become a central element of modern conflict, especially within multi-domain operations. As both a distinct and critical domain, cyber warfare requires integrating…
Guarding Against Malicious Biased Threats (GAMBiT) Experiments: Revealing Cognitive Bias in Human-Subjects Red-Team Cyber Range Operations
Brandon Beltz, Jim Doty, Yvonne Fonken +9
We present three large-scale human-subjects red-team cyber range datasets from the Guarding Against Malicious Biased Threats (GAMBiT) project. Across Experiments 1-3 (July 2024-Mar…
A Multi-Resolution Dynamic Game Framework for Cross-Echelon Decision-Making in Cyber Warfare
Ya-Ting Yang, Quanyan Zhu
Cyber warfare has become a critical dimension of modern conflict, driven by society's increasing dependence on interconnected digital and physical infrastructure. Effective cyber d…
PACT: A Contract-Theoretic Framework for Pricing Agentic AI Services Powered by Large Language Models
Ya-Ting Yang, Quanyan Zhu
Agentic AI, often powered by large language models (LLMs), is becoming increasingly popular and adopted to support autonomous reasoning, decision-making, and task execution across…
When to Deceive: A Cross-Layer Stackelberg Game Framework for Strategic Timing of Cyber Deception
Ya-Ting Yang, Quanyan Zhu
Cyber deception is an emerging proactive defense strategy to counter increasingly sophisticated attacks such as Advanced Persistent Threats (APTs) by misleading and distracting att…
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
Tao Li, Ya-Ting Yang, Yunian Pan +1
This report explores the convergence of large language models (LLMs) and cybersecurity, synthesizing interdisciplinary insights from network security, artificial intelligence, form…
Preference-Centric Route Recommendation: Equilibrium, Learning, and Provable Efficiency
Ya-Ting Yang, Yunian Pan, Quanyan Zhu
Traditional approaches to modeling and predicting traffic behavior often rely on Wardrop Equilibrium (WE), assuming non-atomic traffic demand and neglecting correlations in individ…
A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance
Yunian Pan, Jun Li, Lifan Xu +2
Nonlinear frequency hopping has emerged as a promising approach for mitigating interference and enhancing range resolution in automotive FMCW radar systems. Achieving an optimal ba…
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective
Yunian Pan, Tao Li, Quanyan Zhu
Meta-learning has been proposed as a promising machine learning topic in recent years, with important applications to image classification, robotics, computer games, and control sy…
Game-Theoretic Foundations for Cyber Resilience Against Deceptive Information Attacks in Intelligent Transportation Systems
Ya-Ting Yang, Quanyan Zhu
The growing complexity and interconnectivity of Intelligent Transportation Systems (ITS) make them increasingly vulnerable to advanced cyber threats, particularly deceptive informa…
Transparent Tagging for Strategic Social Nudges on User-Generated Misinformation
Ya-Ting Yang, Tao Li, Quanyan Zhu
Social network platforms (SNP) rely heavily on user-generated content to attract users, yet they have limited control over content provision, which leads to misinformation. As coun…
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Tao Li, Henger Li, Yunian Pan +3
Federated learning (FL) is susceptible to a range of security threats. Although various defense mechanisms have been proposed, they are typically non-adaptive and tailored to speci…
PRADA: Proactive Risk Assessment and Mitigation of Misinformed Demand Attacks on Navigational Route Recommendations
Ya-Ting Yang, Haozhe Lei, Quanyan Zhu
Leveraging recent advances in wireless communication, IoT, and AI, intelligent transportation systems (ITS) played an important role in reducing traffic congestion and enhancing us…
Adaptive Incentive-Compatible Navigational Route Recommendations in Urban Transportation Networks
Ya-Ting Yang, Haozhe Lei, Quanyan Zhu
In urban transportation environments, drivers often encounter various path (route) options when navigating to their destinations. This emphasizes the importance of navigational rec…
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning
Tao Li, Zilin Bian, Haozhe Lei +5
In urban traffic management, the primary challenge of dynamically and efficiently monitoring traffic conditions is compounded by the insufficient utilization of thousands of survei…
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management
Tao Li, Zilin Bian, Haozhe Lei +6
Traditional mobility management strategies emphasize macro-level mobility oversight from traffic-sensing infrastructures, often overlooking safety risks that directly affect road u…