arxiv
PublishedMay 28, 2026 at 4:00 AM
RULER: Representation-Level Verification of Machine Unlearning
Publisher summary· verbatim
arXiv:2605.27569v1 Announce Type: new Abstract: Machine unlearning aims to remove the influence of specific training records from a deployed model without retraining from scratch. Current protocols verify this at the output level through membership inference, retain accuracy, and forget-set accuracy
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Originally published on arxiv ↗