#Differential-privacy
Showing 23 of 23 repositories tagged #differential-privacy, ranked by stars
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
Training PyTorch models with differential privacy
Database anonymization and test data management
Diffprivlib: The IBM Differential Privacy Library
Synthetic Data SDK ✨
Benchmark of federated learning. Dedicated to the community. 🤗
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Simulate a federated setting and run differentially private federated learning.
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Privacy-preserving generative deep neural networks support clinical data sharing
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
Code for ML Doctor
Easy differential privacy in R
[ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text
An All in one Project for Digital Privacy. A step towards a PRIVATE FUTURE
The first differentially-private diffusion model for tabular data
A principled library for tuning, training and evaluating tabular data synthesis on fidelity, privacy and utility. CCS 2025.
Privacy-Preserving Data Analysis using Pandas