There are 36 repositories under differential-privacy topic.
Fit interpretable models. Explain blackbox machine learning.
Google's differential privacy libraries.
A unified framework for privacy-preserving data analysis and machine learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Diffprivlib: The IBM Differential Privacy Library
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Simulate a federated setting and run differentially private federated learning.
Repository for collection of research papers on privacy.
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Differential privacy validator and runtime
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. )
Tools and service for differentially private processing of tabular and relational data
机器学习和差分隐私的论文笔记和代码仓
Privacy Engineering Collaboration Space
Simulation framework for accelerating research in Private Federated Learning
Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
Differentially Private Optimization for PyTorch 👁🙅♀️
Differential private machine learning
A codebase that makes differentially private training of transformers easy.
Code samples and documentation for SmartNoise differential privacy tools
Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.
A toolbox for differentially private data generation
Privacy-preserving generative deep neural networks support clinical data sharing
A curated list of resources related to privacy engineering
Python language bindings for smartnoise-core.
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare