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   Protecting sensitive knowledge under LLM unlearning proxy threat

   Research · since 13 Nov 2026

   Researchers identified a security threat where machine unlearning requests can be exploited due to knowledge superposition in LLMs. The paper demonstrates how removing one entity inadvertently impacts others, proposing a defense.

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