membership-inference-attack topic
ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
PrivPkt
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
ML-Doctor
Code for ML Doctor
Privacy-Attacks-in-Machine-Learning
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
Attack_SplitNN
reveal the vulnerabilities of SplitNN
Unlearn-Saliency
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Denn...
Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
Unlearn-Sparse
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
AI-SDC
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models