privacy
tf-encrypted
| privacy | tf-encrypted | |
|---|---|---|
| 2 | 2 | |
| 1,874 | 1,192 | |
| 0.7% | 0.5% | |
| 7.8 | 0.0 | |
| 6 days ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
privacy
tf-encrypted
- What are the technologies to keep the data secure when it's aggregated from multiple sources?
-
Facebook is reportedly trying to analyze encrypted data without deciphering it
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
What are some alternatives?
differential-privacy - Google's differential privacy libraries.
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
dp-xgboost
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
EnvisEdge - Deploy recommendation engines with Edge Computing
Differential-Privacy-Guide - Differential Privacy Guide
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
openfl - An open framework for Federated Learning.