arxiv
PublishedMay 8, 2026 at 4:00 AM
—neutral
SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
Publisher summary· verbatim
arXiv:2602.01150v2 Announce Type: replace-cross Abstract: Machine unlearning (MU) is essential for enforcing the right to be forgotten in machine learning systems. A key challenge of MU is how to reliably audit whether a model has truly forgotten specified training data. Membership Inference Attacks
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Originally published on arxiv ↗