tf-encrypted vs privacy

tf-encrypted

A Framework for Encrypted Machine Learning in TensorFlow (by tf-encrypted)

Source Code

tf-encrypted.io

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privacy

Library for training machine learning models with privacy for training data (by tensorflow)

Machine Learning Privacy

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tf-encrypted		privacy
	Project
2	Mentions	2
1,192	Stars	1,874
0.5%	Growth	0.7%
0.0	Activity	7.8
7 months ago	Latest Commit	8 days ago
Python	Language	Python
Apache License 2.0	License	Apache License 2.0

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tf-encrypted

Posts with mentions or reviews of tf-encrypted. We have used some of these posts to build our list of alternatives and similar projects.

What are the technologies to keep the data secure when it's aggregated from multiple sources?
1 project | /r/AskNetsec | 11 Dec 2021
Facebook is reportedly trying to analyze encrypted data without deciphering it
1 project | news.ycombinator.com | 3 Aug 2021

There is a TF package for learning on encrypted data. Not familiar with the details or encryption algos supported.
https://github.com/tf-encrypted/tf-encrypted

privacy

Posts with mentions or reviews of privacy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.

Trasformare dataset tensorflow in array numpy fa perdere accuracy
1 project | /r/ItalyInformatica | 27 Jul 2022
Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy
4 projects | news.ycombinator.com | 17 Mar 2022

What are some alternatives?

When comparing tf-encrypted and privacy you can also consider the following projects:

stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

differential-privacy - Google's differential privacy libraries.

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]

dp-xgboost

Differential-Privacy-Guide - Differential Privacy Guide

EnvisEdge - Deploy recommendation engines with Edge Computing

openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.

openfl - An open framework for Federated Learning.

adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

mia - A library for running membership inference attacks against ML models

tf2-published-models - Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.