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.
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries,
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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.