microsoft / privGAN
PrivGAN: Protecting GANs from membership inference attacks at low cost
☆33Updated 8 months ago
Alternatives and similar repositories for privGAN:
Users that are interested in privGAN are comparing it to the libraries listed below
- A library for running membership inference attacks against ML models☆142Updated 2 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆69Updated 6 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆125Updated 10 months ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 5 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆194Updated 7 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆130Updated 2 years ago
- Differentially Private Conditional Generative Adversarial Network☆30Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆58Updated 4 months ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆45Updated 8 months ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆82Updated 3 years ago
- ☆45Updated 5 years ago
- A toolbox for differentially private data generation☆129Updated last year
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆16Updated 9 months ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- ☆39Updated 2 years ago
- Code for ML Doctor☆86Updated 6 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆105Updated 2 years ago
- ☆35Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆114Updated last month
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆9Updated 5 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago