Membership inference tests can be driven below random accuracy by poisoning the training set, even under relaxed, neighborhood-based membership definitions.
Artificial intelligence bias auditing–current approaches, challenges and lessons from practice.Review of Accounting and Finance, (ahead-of-print), 2025
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What Really is a Member? Discrediting Membership Inference via Poisoning
Membership inference tests can be driven below random accuracy by poisoning the training set, even under relaxed, neighborhood-based membership definitions.