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TopicsModel Backdoor Attacks Large language models Machine Learning

On Redwood’s Llama 3.1 8B sleeper agent, adversarial training reduced backdoor-reply continuation similarly for triggers and look-alikes.

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Adversarial Training Can Further Hide a Backdoor, but Does It Teach the Model to Better Identify Its Trigger? Untraced · nothing upstream recorded

To summarize, adversarial training had little impact on the model's decision to start the backdoor reply. Rather, it weakened continuation of the backdoor reply, and it did this by a similar share for the trigger and its look-alikes.

Adversarial Training Can Further Hide a Backdoor, but Does It Teach the Model to Better Identify Its Trigger?extraction 0.75

Token-by-token analysis answering the objection that the trigger simply had more strength to lose.

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