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
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Updated 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☆150Updated 2 years ago
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆45Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆197Updated 7 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆34Updated last year
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Updated 3 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆45Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- Membership Inference of Generative Models☆14Updated 6 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 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
- Differentially Private Conditional Generative Adversarial Network☆31Updated 4 years ago
- Differentially Private Clustering in High-Dimensional Euclidean Spaces☆12Updated 7 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆304Updated 2 years ago
- ☆45Updated 5 years ago
- ☆16Updated 6 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Improving the Generalization of Adversarial Training with Domain Adaptation☆33Updated 6 years ago
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆57Updated 3 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Updated 3 years ago