Shixiong Jiang

Vulnerability Analysis for Safe Reinforcement Learning in Cyber-Physical Systems

2026 · ACM Transactions on Cyber-Physical Systems

Safe Reinforcement Learning (RL) has been applied to synthesize control policies that maximize task rewards while adhering to safety constraints within simulated secure cyber-physical systems. However, the vulnerability of safe RL to adversarial attacks remains …