CMIA cascades conditional shadow training to exploit membership dependencies, and PMIA uses proxy data to approximate Bayesian membership odds, both substantially outperforming prior MIAs in low false-positive regimes.
Membership inference attacks against machine learning models,
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Cascading and Proxy Membership Inference Attacks
CMIA cascades conditional shadow training to exploit membership dependencies, and PMIA uses proxy data to approximate Bayesian membership odds, both substantially outperforming prior MIAs in low false-positive regimes.