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TF Privacy launch cleanup

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PiperOrigin-RevId: 394262183
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Anirudh Sriram 2021-09-01 10:29:05 -07:00 committed by A. Unique TensorFlower
parent e99fb7ea9b
commit bb5ca9277b
6 changed files with 1 additions and 13 deletions
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g3doc/guide/_index.yaml
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# TODO(b/181782485): Switch to the main book for launch - /responsible_ai/_book.yaml # TODO(b/181782485): Switch to the main book for launch - /responsible_ai/_book.yaml
book_path: /responsible_ai/privacy/_book.yaml book_path: /responsible_ai/_book.yaml
project_path: /responsible_ai/_project.yaml project_path: /responsible_ai/_project.yaml
title: TensorFlow Privacy title: TensorFlow Privacy
description: > description: >

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g3doc/guide/_toc.yaml
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toc: toc:
- title: Overview - title: Overview
path: /responsible_ai/privacy/guide/ path: /responsible_ai/privacy/guide/
- title: Install
path: /responsible_ai/privacy/guide/install
- title: Get Started - title: Get Started
path: /responsible_ai/privacy/guide/get_started path: /responsible_ai/privacy/guide/get_started
- title: Measure Privacy - title: Measure Privacy

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g3doc/guide/get_started.md
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# Get Started # Get Started
Using TF Privacy
This document assumes you are already familiar with differential privacy, and This document assumes you are already familiar with differential privacy, and
have determined that you would like to implement TF Privacy to achieve have determined that you would like to implement TF Privacy to achieve
differential privacy guarantees in your model(s). If you’re not familiar with differential privacy guarantees in your model(s). If you’re not familiar with

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g3doc/guide/install.md
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# Installation Instructions
## Tips

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g3doc/tutorials/_toc.yaml
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toc: toc:
- title: Overview
path: /responsible_ai/privacy/tutorials/
- title: Compute privacy - title: Compute privacy
path: /responsible_ai/privacy/tutorials/classification_privacy path: /responsible_ai/privacy/tutorials/classification_privacy
- title: Assess privacy risk - title: Assess privacy risk

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g3doc/tutorials/index.md
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# PROJECT_NAME tutorials
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