most citedRecovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works

8 citations · 8 across the 7 of their papers we have counts for

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cs.LG2026

Safe-RULE: Safe Reinforcement UnLEarning

Shixiong Jiang, Taozheng Zhu, Fanxin Kong

Offline safe reinforcement learning (Safe RL) enables policy learning without online interactions, making it suitable for safety-critical systems such as robotics systems. However,…

cs.LG2026

Demonstration-Guided Observation Attacks on Black-Box Safe Reinforcement Learning Controllers for Robotic Systems

Jialiang Fan, Shixiong Jiang, Mengyu Liu +1

Safe reinforcement learning (Safe RL) learns robotic controllers that optimize task rewards under safety constraints, yet observation perturbations can induce safety violations. Ex…