Stealthy data poisoning attack method on offline reinforcement learning in unmanned systems

Stealthy data poisoning attack method on offline reinforcement learning in unmanned systems

Aiming at the limitations in effectiveness and stealth of existing offline reinforcement learning(RL) data poisoning attacks, a critical time-step dynamic poisoning attack was proposed, perturbing important samples to achieve efficient and covert attacks. Temporal difference errors, identified throu...

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Bibliographic Details
Main Authors: ZHOU Xue, MAN Dapeng, XU Chen, LYU Jiguang, ZENG Fanyi, GAO Chaoyang, YANG Wu
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-12-01
Series:Tongxin xuebao
Subjects:
unmanned system
offline reinforcement learning
data poisoning attack
data security
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024264/
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