microsoft / privGANLinks
PrivGAN: Protecting GANs from membership inference attacks at low cost
☆36Updated last year
Alternatives and similar repositories for privGAN
Users that are interested in privGAN are comparing it to the libraries listed below
Sorting:
- A library for running membership inference attacks against ML models☆152Updated 3 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 4 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 8 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 7 years ago
- ☆40Updated 3 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆54Updated last year
- ☆39Updated 2 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 3 years ago
- A library providing general-purpose tools for estimating discrete distributions from noisy observations of their marginals.☆110Updated this week
- Implementation of a differentially private generative adversarial network.☆11Updated 7 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Updated 7 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆692Updated 8 months ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆46Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- simple Differential Privacy in PyTorch☆49Updated 5 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- ☆80Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 7 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 3 weeks ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆18Updated last year