441 results for “topic:differential-privacy”
Fit interpretable models. Explain blackbox machine learning.
Google's differential privacy libraries.
A unified framework for privacy-preserving data analysis and machine learning
Master Federated Learning in 2 Hours—Run It on Your PC!
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Training PyTorch models with differential privacy
Database anonymization and synthetic data generation tool
Diffprivlib: The IBM Differential Privacy Library
Synthetic Data SDK ✨
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Benchmark of federated learning. Dedicated to the community. 🤗
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
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. )
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
The core library of differential privacy algorithms powering the OpenDP Project.
Simulate a federated setting and run differentially private federated learning.
Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with adaptive noise (TrustCom'2022)
Simulation framework for accelerating research in Private Federated Learning
Repository for collection of research papers on privacy.
Differential privacy validator and runtime
Tools and service for differentially private processing of tabular and relational data
Privacy Engineering Collaboration Space
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.
Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.
Differential private machine learning
A codebase that makes differentially private training of transformers easy.
A curated list of resources related to privacy engineering
Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.
Fast, memory-efficient, scalable optimization of deep learning with differential privacy