#
privacy-preserving-machine-learning
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18 public repositories
matching this topic...
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Implementation of protocols in SecureNN.
A Privacy-Preserving Framework Based on TensorFlow
Federated Learning related materials, including papers, articles, frameworks, and courses etc.
Updated
May 26, 2020
Shell
Full stack service enabling decentralized machine learning on private data
Updated
Jul 13, 2020
Jupyter Notebook
Awesome list for cryptography paper summary. This repo includes #HomomorphicEncryption #DifferentialPrivacy #MPC and also a comprehensive summary for top conferences. :)
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Updated
Aug 6, 2020
Python
Tricks for Accelerating (encrypted) Prediction As a Service
Updated
May 28, 2019
HTML
Codes and Data for Reproducing the Results of "Privacy-Preserving Bandits"
Updated
Apr 27, 2020
Jupyter Notebook
Secure Linear Regression in the Semi-Honest Two-Party Setting.
Crypto-Convolutional Neural Network library written on top of SEAL 2.3.1
📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.Sc. thesis at the University of Athens, Greece.
Updated
Nov 2, 2019
Python
This repository contains all the implementation of different papers on Federated Learning
Updated
Jul 31, 2020
Jupyter Notebook
PyTorch implementation of NoPeekNN
Updated
May 18, 2020
Jupyter Notebook
Updated
May 22, 2020
Python
privacy preserving recommendation system research
Updated
Jul 21, 2020
Jupyter Notebook
A demo of three-party secure multiplication.
Updated
Nov 16, 2019
Java
Updated
Dec 12, 2019
Python
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