TensorFlow/Differential Privacy
From charlesreid1
Overview
The differential privacy network is a component in the tensorflow/models repository on Github.
Link to code: https://github.com/tensorflow/models/tree/master/research/differential_privacy
The networks are based on two papers:
"Deep Learning with Differential Privacy" (October 2016)
Link to paper: https://arxiv.org/pdf/1607.00133.pdf
"Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data" (March 2017)
Link to paper: https://arxiv.org/pdf/1610.05755.pdf
This repository directory is quite messy, so I'm trying to clean it up a bit.
Directories and Components
The top level directory contains three directories:
- dp_sgd
- multiple_teachers
- privacy_accountant