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New adaptive attack targets wireless control systems using critic disagreement

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new adaptive reward poisoning attack called Disagreement-Guided Reward Poisoning (DGRP) that targets learning-based wireless control systems. This attack specifically exploits disagreements between dual critics in Soft Actor-Critic agents, particularly in high-uncertainty states. By corrupting reward signals, DGRP distorts value estimations and leads the agent's policy toward suboptimal actions, significantly degrading performance in RIS-assisted networks. AI

IMPACT Highlights a new vulnerability in reinforcement learning agents, necessitating more robust security measures for AI-controlled systems.

RANK_REASON Academic paper detailing a novel attack methodology on a specific AI application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New adaptive attack targets wireless control systems using critic disagreement

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Academic paper detailing a novel attack methodology on a specific AI application. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Soumaya Cherkaoui ·

    When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System

    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 Reco…

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