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News/On Reliability of Membership Inference Vulnerability Evaluation
arxiv
PublishedOctober 3, 2026 at 4:00 AM
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On Reliability of Membership Inference Vulnerability Evaluation

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arXiv:2605.25819v2 Announce Type: replace Abstract: Membership inference attacks (MIAs) are popular methods for empirically assessing the leakage of sensitive information in the training data through models or statistics learned from the data. The MI vulnerability is often evaluated through a binary

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