niklausliu / PPGANs-Privacy-preserving-GANsLinks
PPGANs: Privacy-preserving Generative Adversarial Networks.
☆17Updated 2 years ago
Alternatives and similar repositories for PPGANs-Privacy-preserving-GANs
Users that are interested in PPGANs-Privacy-preserving-GANs are comparing it to the libraries listed below
Sorting:
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Implementation of a differentially private generative adversarial network.☆11Updated 6 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆69Updated 2 years ago
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆46Updated 6 years ago
- A library for running membership inference attacks against ML models☆149Updated 2 years ago
- Membership Inference of Generative Models☆14Updated 5 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- Code for "ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System"☆14Updated 5 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 2 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆194Updated 7 years ago
- Adversarial attacks and defenses against federated learning.☆18Updated 2 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆48Updated 3 years 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
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆43Updated 6 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆40Updated last year
- Reproduction of cw attack on pytorch with corresponding MNIST model☆22Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Updated 2 years ago
- simple Differential Privacy in PyTorch☆48Updated 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
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆33Updated last year
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆31Updated 4 years ago
- ☆31Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 3 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 3 years ago
- ☆45Updated 5 years ago