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Confess What You Know: Forget-Set Misalignment with Model Knowledge in LLM Unlearning
Machine unlearning for large language models (LLMs) often assumes that a pre-defined forget set matches what the model has memorized, but this frequently breaks in realistic privacy settings where the original training data is inaccessible. We term this gap forget-set misalignment and identify two c
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