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Hao Peng

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Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge

A novel defense method called Eraser is proposed, which mainly includes three goals: unlearning harmful knowledge, retaining general knowledge, and maintaining safety alignment, which can significantly reduce the jailbreaking success rate for various attacks without compromising the general capabilities of the model.

Wei-Kai Lu, Zi-Qian Zeng, Jian-Wei Wang et al. · 61 citations · ⚡11
Jul 2026

EgoSafe: A First-Person Mobile-Captured Benchmark for Visual Safety Understanding

EgoSafe-Bench is introduced, a benchmark specifically designed to probe forensic reasoning in egocentric safety scenarios, generated by pairing each of the 3,000 video clips with a QA chain governed by the proposed Hierarchical Reasoning Evaluation (HRE) protocol.

Yuyun Chen, Tian-Ao Li, TianQuan Feng et al. · 0 citations

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