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Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Ml Doctor ⭐ 74

Code for ML Doctor

Unlearn Saliency ⭐ 41

[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu

Unlearn Sparse ⭐ 38

[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

Privacy Attacks In Machine Learning ⭐ 27

Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.

Unlearningleaks ⭐ 14

Official implementation of "When Machine Unlearning Jeopardizes Privacy" ((CCS 2021)

Collection of tools and resources for managing the statistical disclosure control of trained machine learning models

Leveraging Adversarial Examples To Quantify Membership Information Leakage ⭐ 11

Attack_splitnn ⭐ 9

reveal the vulnerabilities of SplitNN

Federated_xgboost_python ⭐ 9

FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference

Mia Ko Lm ⭐ 6

Performing membership inference attack (MIA) against Korean language models (LMs).

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