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TopicsModel Backdoor Attacks Large language models Reinforcement Learning

Task-level reinforcement learning often preserves or increases residual backdoor attack success after benign SFT in LLM agents.

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Understanding and Enhancing Backdoor Persistency in LLM Agent Post-TrainingOct 5, 2026 Untraced · nothing upstream recorded

We observe that benign SFT substantially reduces attack success, but subsequent RL often preserves the residual behavior and sometimes even increases attack success.

Understanding and Enhancing Backdoor Persistency in LLM Agent Post-Trainingextraction 0.85

Abstract; RL is task-level reinforcement learning applied after benign SFT.

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Created by extractor · Nov 11, 2026. Every judgment on this page is accompanied by a reasoning trace.