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TopicsModel Backdoor Attacks Large language models Direct Preference Optimization

Denial-of-service backdoors in LLMs persist through SFT and DPO after 0.001% pretraining-data poisoning.

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Persistent Pre-Training Poisoning of LLMsOct 17, 2024 Untraced · nothing upstream recorded

Moreover, simple attacks like denial-of-service persist through post-training with a poisoning rate of only 0.001%.

Persistent Pre-Training Poisoning of LLMsextraction 0.85

Abstract; same experimental setup (600M to 7B models, SFT and DPO post-training).

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