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English(EN) When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System

新的自适应攻击利用批评者意见不合来攻击无线控制系统

研究人员开发了一种名为“意见不合引导奖励投毒”(DGRP)的新型自适应奖励投毒攻击,该攻击以基于学习的无线控制系统为目标。该攻击专门利用软Actor-Critic智能体中双重批评者之间的分歧,尤其是在高不确定性状态下。通过破坏奖励信号,DGRP会扭曲价值估计,并将智能体的策略导向次优行为,从而显著降低RIS辅助网络中的性能。 AI

影响 突显了强化学习智能体的新漏洞,需要为AI控制系统采取更强大的安全措施。

排序理由 详细介绍针对特定AI应用的创新攻击方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的自适应攻击利用批评者意见不合来攻击无线控制系统

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详细介绍针对特定AI应用的创新攻击方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    当批评者意见不合时:RIS辅助无线控制系统中的自适应奖励投毒攻击

    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…