This work proposes a novel one-shot unlearning approach, abandoning iterative optimization in favor of a direct, exact analytical solution, and achieves state-of-the-art forgetting-utility trade-offs on TOFU-5%, TOFU-10%, MUSE-Books, MUSE-News and WMDP, significantly reducing computational overhead without sacrificing overall model performance.
Paweł Batorski, P. Spurek, Paul Swoboda· 0 citations
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