A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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Updated
Aug 27, 2024
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of awesome responsible machine learning resources.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Training PyTorch models with differential privacy
An open framework for Federated Learning.
A Privacy-Preserving Framework Based on TensorFlow
Privacy Testing for Deep Learning
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Implementation of protocols in SecureNN.
Implementation of protocols in Falcon
Piranha: A GPU Platform for Secure Computation
Fast, memory-efficient, scalable optimization of deep learning with differential privacy
Advanced Privacy-Preserving Federated Learning framework
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.
This repository contains all the implementation of different papers on Federated Learning
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
Privacy-Preserving Machine Learning (PPML) Tutorial
Secure Linear Regression in the Semi-Honest Two-Party Setting.
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