Popular GitHub Repositories for Differential Privacy

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Training PyTorch models with differential privacy

Master Federated Learning in 2 Hours—Run It on Your PC!

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

Synthetic Data SDK ?

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Simulate a federated setting and run differentially private federated learning.

Paper notes and code for differentially private machine learning

Simulation framework for accelerating research in Private Federated Learning

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

A codebase that makes differentially private training of transformers easy.

A toolbox for differentially private data generation

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Fast, memory-efficient, scalable optimization of deep learning with differential privacy

Privacy-preserving generative deep neural networks support clinical data sharing

Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]

A large labelled image dataset for benchmarking in federated learning

A Simulator for Privacy Preserving Federated Learning

This is a platform containing the datasets and federated learning algorithms in IoT environments.

Synthetic Data Engine ?