Differential-Privacy-Guide
tf-encrypted
| Differential-Privacy-Guide | tf-encrypted | |
|---|---|---|
| 1 | 2 | |
| 13 | 1,192 | |
| - | 0.5% | |
| 2.6 | 0.0 | |
| over 2 years ago | 7 months ago | |
| Python | Python | |
| - | Apache License 2.0 |
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Differential-Privacy-Guide
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?
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
gretel-python-client - The Gretel Python Client allows you to interact with the Gretel REST API.
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
ReTube - ReImagine Tubing
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
privacy - Library for training machine learning models with privacy for training data
openfl - An open framework for Federated Learning.
isp-data-pollution - ISP Data Pollution to Protect Private Browsing History with Obfuscation
mia - A library for running membership inference attacks against ML models
garbled-circuit - A two-party secure function evaluation using Yao's garbled circuit protocol