#Awesome#A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
翻译 - 精选的优秀开源库列表,用于部署,监视,版本化和扩展您的机器学习
#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
翻译 - 使用不同的隐私训练PyTorch模型
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.
Implementation of protocols in SecureNN.
#计算机科学#Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Advanced Privacy-Preserving Federated Learning framework
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
Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.
#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".
Secure Linear Regression in the Semi-Honest Two-Party Setting.
#计算机科学#Privacy-Preserving Machine Learning (PPML) Tutorial