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Author

Ze-Lin Chen

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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

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