626_privacy/tensorflow_privacy
2
0
Fork 1
Code Issues Pull requests 1 Projects Releases Packages Wiki Activity Actions

Mention codelab in the README file.

Browse source 
PiperOrigin-RevId: 318069426
This commit is contained in:
A. Unique TensorFlower 2020-06-24 08:34:39 -07:00
parent e38c351e8d
commit 4b6a60dfdb
1 changed files with 9 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

10
tensorflow_privacy/privacy/membership_inference_attack/README.md
View file

@ -16,7 +16,15 @@ The tests provided by the library are "black box". That is, only the outputs of
the model are used (e.g., losses, logits, predictions). Neither model internals the model are used (e.g., losses, logits, predictions). Neither model internals
(weights) nor input samples are required. (weights) nor input samples are required.
## Highest level -- get attack summary ## How to use
### Codelab
The easiest way to get started is to go through [the introductory codelab](https://github.com/tensorflow/privacy/blob/master/tensorflow_privacy/privacy/membership_inference_attack/codelab.ipynb).
This trains a simple image classification model and tests it against a series
of membership inference attacks.
For a more detailed overview of the library, please check the sections below.
### Basic usage ### Basic usage