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20232026
most citedA Deep Learning Analysis of Climate Change, Innovation, and Uncertainty

1 citations · 1 across the 12 of their papers we have counts for

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5 papers · 2 filters

math.OC2026

The Price of Covertness: Dual-Control Navigation in Uncertain Flows under Adversarial Sensing

Ruimeng Hu, Botao Jin, Xu Yang

Covert navigation in an uncertain flow couples motion planning with information acquisition. A vehicle must estimate the local flow to navigate, while estimation error induces corr…

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

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. However, quantifying such information revelation is nontrivial, since it depen…