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Reliable Estimation of Differential Privacy under Selection Bias

arXiv:2610.27021v1 Announce Type: cross Abstract: Statistical privacy audits are essential for verifying the theoretical privacy guarantees of differentially private (DP) mechanisms. Auditors typically use Membership Inference Attacks (MIAs) to estimate a lower bound on the true privacy leakage of…

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  1. 2026-10-21 04:00 · arXiv stat.ML
    Reliable Estimation of Differential Privacy under Selection Bias

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