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android / platform / external / rappor / 854f2253c26409778e84f518aff306dc800fc0a2
commit854f2253c26409778e84f518aff306dc800fc0a2[log] [tgz]
authorChih-Hung Hsieh <chh@google.com>Fri Jan 11 10:16:24 2019 -0800
committerandroid-build-merger <android-build-merger@google.com>Fri Jan 11 10:16:24 2019 -0800
treea962931f614c8f6693b7beeee7b776a61b9a068f
parentc7558af548244991d2e5019d05f090688f5222f0 [diff]
parente4cd17b9715d471c25f36a0bc0c5317c40a7bc01 [diff]
Add default code reviewers into OWNERS
am: e4cd17b971

Change-Id: I7a3aba2bd90898e5ebcff546df7df1c9db1f8b0e
tree: a962931f614c8f6693b7beeee7b776a61b9a068f
  1. client/
  2. Android.bp
  3. Android.mk
  4. LICENSE
  5. MODULE_LICENSE_APACHE2
  6. NOTICE
  7. OWNERS
  8. README.android
  9. README.md
  10. README.version
README.md

RAPPOR

RAPPOR is a novel privacy technology that allows inferring statistics about populations while preserving the privacy of individual users.

This repository contains simulation and analysis code in Python and R.

For a detailed description of the algorithms, see the paper and links below.

Feel free to send feedback to rappor-discuss@googlegroups.com.

Publications

Links

  • Google Blog Post about RAPPOR
  • RAPPOR implementation in Chrome
    • This is a production quality C++ implementation, but it‘s somewhat tied to Chrome, and doesn’t support all privacy parameters (e.g. only a few values of p and q). On the other hand, the code in this repo is not yet production quality, but supports experimentation with different parameters and data sets. Of course, anyone is free to implement RAPPOR independently as well.
  • Mailing list: rappor-discuss@googlegroups.com