collaborators

11 papers

math.OC2026

Strategic Inference of Adversarial Navigation Objectives for Unmanned Underwater Vehicles

Ruimeng Hu, Xu Yang

We study destination inference for adversarial unmanned underwater navigation in a spatially varying current field. The red vehicle is modeled as approximately following a Hamilton…

math.OC2026

Optimal Design of Stealthy Attacks in Partially Observed Linear Systems: A Likelihood-Based Approach

Haosheng Zhou, Ruimeng Hu

We study the optimal design of stealthy attacks against partially observed linear control systems. We first propose a novel likelihood-based detection mechanism derived from the in…

math.OC2026

Adversarial Decision-Making in Partially Observable Multi-Agent Systems: A Sequential Hypothesis Testing Approach

Haosheng Zhou, Daniel Ralston, Xu Yang +1

Adversarial decision-making in partially observable multi-agent systems requires sophisticated strategies for both deception and counter-deception. This paper presents a sequential…

math.OC2026

Deception in Linear-Quadratic Control

Yerin Kim, Haosheng Zhou, Alexander Benvenuti +2

Systems operating in adversarial environments may inadvertently leak sensitive information to adversaries. To address this challenge, we revisit the linear-quadratic control framew…

math.OC2026

Information Revelation and Alignment Faking in Stochastic Differential Games

Daniel Ralston, Xu Yang, Ruimeng Hu

In competitive games with private objectives, actions can reveal information about hidden parameters. Quantifying such information revelation, however, is substantially more challe…

math.OC2025

Finite-Agent Stochastic Differential Games on Large Graphs: I. The Linear-Quadratic Case

Ruimeng Hu, Jihao Long, Haosheng Zhou

In this paper, we study finite-agent linear-quadratic games on graphs. Specifically, we propose a comprehensive framework that extends the existing literature by incorporating hete…