AINeutralarXiv – CS AI · 6h ago6/10
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SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
Researchers propose Statistical Membership Inference (SMI), a new training-free auditing method that challenges the reliability of existing Membership Inference Attacks (MIAs) for verifying machine unlearning. The framework addresses a fundamental flaw in current auditing approaches by reformulating the problem as estimating non-member proportions in feature distributions, eliminating the need for computationally expensive shadow model training.