differential-privacy topic
PATE
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755)
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
SPRINT_gan
Privacy-preserving generative deep neural networks support clinical data sharing
awesome-secure-computation
Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
interpret
Fit interpretable models. Explain blackbox machine learning.
PFLlib
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
secretflow
A unified framework for privacy-preserving data analysis and machine learning
machine-learning-diff-private-federated-learning
Simulate a federated setting and run differentially private federated learning.
PrivacyEngCollabSpace
Privacy Engineering Collaboration Space