Preprint
Sep 2026
Machine Unlearning as Private Retroactive Algorithms
Machine unlearning typically aims to emulate retraining from scratch: upon a deletion request, the unlearning algorithm should produce an outcome that would have been obtained had the deleted point never been included. Recent work has shown that this emulation requirement carries no meaningful privacy semantics against...
Haim Kaplan, R. Kohen, Yishay Mansour et al.
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