privacy-preserving-machine-learning

#Awesome#A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

#Awesome#A curated list of awesome responsible machine learning resources.

#计算机科学#Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

#计算机科学#Training PyTorch models with differential privacy

A Privacy-Preserving Framework Based on TensorFlow

#计算机科学#Privacy Testing for Deep Learning

#计算机科学#Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

Advanced Privacy-Preserving Federated Learning framework

Implementation of protocols in SecureNN.

#计算机科学#Fast, memory-efficient, scalable optimization of deep learning with differential privacy

Piranha: A GPU Platform for Secure Computation

Implementation of protocols in Falcon

#计算机科学#Full stack service enabling decentralized machine learning on private data

This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.

Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference

#计算机科学#GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

This repository contains all the implementation of different papers on Federated Learning

#人脸识别#[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

#计算机科学#Privacy-Preserving Machine Learning (PPML) Tutorial

Secure Linear Regression in the Semi-Honest Two-Party Setting.