miranthajayatilake / dpganLinks
Implementation of a differentially private generative adversarial network.
☆11Updated 7 years ago
Alternatives and similar repositories for dpgan
Users that are interested in dpgan are comparing it to the libraries listed below
Sorting:
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Differentially Private Conditional Generative Adversarial Network☆31Updated 4 years ago
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆70Updated 3 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆31Updated 4 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 6 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Reproduce Paper "Federated Learning with Non-IID Data"☆10Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆42Updated last year
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆201Updated 8 years ago
- PrivGAN: Protecting GANs from membership inference attacks at low cost☆35Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 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
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 6 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- A library for running membership inference attacks against ML models☆152Updated 2 years ago
- A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.☆45Updated 7 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Updated 2 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Updated 3 years ago
- Improved DP-SGD for optimizing☆19Updated 6 years ago
- Adversarial attacks and defenses against federated learning.☆20Updated 2 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 2 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