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Training language models to follow instructions with human feedback

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Strategic Deflection: Defending LLMs from Logit Manipulation

cs.CR · 2025-07-29 · conditional · novelty 6.0

SDeflection, a preference-trained defense that makes LLMs deflect harmful requests into benign answers, cuts ASR of a logit-manipulation attack from 89-95% to 8-35% on Llama-2, Llama-3, and Mistral.

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  • Strategic Deflection: Defending LLMs from Logit Manipulation cs.CR · 2025-07-29 · conditional · none · ref 1

    SDeflection, a preference-trained defense that makes LLMs deflect harmful requests into benign answers, cuts ASR of a logit-manipulation attack from 89-95% to 8-35% on Llama-2, Llama-3, and Mistral.