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TERM: Target-Free Jailbreak Defense via Entropy-Guided Residual Modulation

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Summary

This paper proposes Target-free Entropy-guided Residual Modulation (TERM), an inference-time defense against jailbreak attacks on LLMs. TERM calibrates attention entropy against each prompt's own prefill baseline and uses the result to bound-scale the model's own residual updates, without a predefined safety direction. The authors report improved jailbreak robustness with low over-refusal across Llama, Qwen, and Gemma models from 0.6B to 32B parameters, with modest inference overhead.