Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
-
Updated
May 13, 2024 - Jupyter Notebook
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
A curated list of trustworthy deep learning papers. Daily updating...
Code for ML Doctor
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
reveal the vulnerabilities of SplitNN
[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, Dennis Wei, Sijia Liu
[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
Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data
DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Membership inference against Federated learning.
Source code for our IJCAI-ECAI 2022 paper "To Trust or Not To Trust Prediction Scores for Membership Inference Attacks"
Accompanying code for "Disparate Vulnerability to Membership Inference Attacks"
Codebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning
Performing membership inference attack (MIA) against Korean language models (LMs).
Universität des Saarlandes - Privacy Enhancing Technologies 2021 - Semester Project
Add a description, image, and links to the membership-inference-attack topic page so that developers can more easily learn about it.
To associate your repository with the membership-inference-attack topic, visit your repo's landing page and select "manage topics."