apcMIA: Adaptive Perturbation-assisted Contrastive Membership Inference Attack This repository contains the implementation of APCMIA, a black-box membership inference attack framework that combines adaptive perturbation with contrastive learning. It is designed to uncover subtle membership signals in well-generalized.
machine-learning membership-inference-attacks machine-learnining-attacks attack-generalized-machine-learning
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Updated
May 5, 2025 - Python