Top 18 differential-privacy open source projects

Google's differential privacy libraries.

Fit interpretable models. Explain blackbox machine learning.

Naive implementation of basic Differential-Privacy framework and algorithms

Privacy-Preserving Data Analysis using Pandas

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

A toolbox for differentially private data generation

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

Tools and service for differentially private processing of tabular and relational data

A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.

Easy differential privacy in R

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

Locally Private Graph Neural Networks (ACM CCS 2021)

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

Federated Principal Component Analysis Revisited!

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

The core library of differential privacy algorithms powering the OpenDP Project.

Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755)