Skip to content
#

attack-generalized-machine-learning

Here is 1 public repository matching this topic...

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.

  • Updated Oct 23, 2025
  • Python

Improve this page

Add a description, image, and links to the attack-generalized-machine-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the attack-generalized-machine-learning topic, visit your repo's landing page and select "manage topics."

Learn more