AI RESEARCH
When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System
arXiv CS.AI
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ArXi:2605.20037v1 Announce Type: cross Reward-poisoning attacks present a significant risk to learning-based wireless control systems. Given this, we propose a Disagreement-Guided Reward Poisoning (DGRP) adaptive attack on a Soft Actor-Critic (SAC) agent. In a Cognitive Radio Network (CRN) environment assisted by Reconfigurable Intelligent Surfaces (RIS), the SAC agent is tasked with maximizing the long-term secondary users' (SUs) rate by simultaneously optimizing the transmission power of the SU transmitter and the RIS phase shifts.