civisanalytics / dpwganLinks
Differentially-private Wasserstein GAN implementation in PyTorch
☆28Updated 5 years ago
Alternatives and similar repositories for dpwgan
Users that are interested in dpwgan are comparing it to the libraries listed below
Sorting:
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Differentially private release of semantic rich data☆35Updated 4 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 3 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆69Updated 2 years ago
- A toolbox for differentially private data generation☆132Updated last year
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- A TensorFlow (Python 3) implementation of a differentially-private-GAN.☆20Updated 5 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆49Updated 11 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 a differentially private generative adversarial network.☆11Updated 6 years ago
- A library for running membership inference attacks against ML models☆148Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆73Updated last year
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated last year
- ☆17Updated 2 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆94Updated 2 months ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆48Updated 3 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- A simple wrapper for the PATE analysis for Differential Privacy by Papernot, Song et al.☆9Updated 5 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- ☆80Updated 3 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated last year
- Differentially Private Optimization for PyTorch 👁🙅♀️☆186Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆48Updated 6 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆126Updated last year