AttentionSwitch: jailbreak defense for LLMs via joint learning of sparse attention-head selection and scaling
Read the original at arxiv.org→arXiv:2611.08752v1 Announce Type: new Abstract: Large language models have achieved remarkable performance across a wide range of tasks, yet they remain susceptible to jailbreak attacks that circumvent safety...
Original headline: "AttentionSwitch: Jailbreak Defense for LLMs via Joint Learning of Sparse Attention-Head Selection and Scaling"
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- Nov 9, 05:00 UTC arXiv cs.AI lead source AttentionSwitch: Jailbreak Defense for LLMs via Joint Learning of Sparse Attention-Head Selection and Scaling