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android-review.linaro.org / platform / external / rappor / c63c23a42e3965d31e9542d4d72060461cffd61e
commitc63c23a42e3965d31e9542d4d72060461cffd61e[log] [tgz]
authorChih-Hung Hsieh <chh@google.com>Fri Jan 11 10:29:04 2019 -0800
committerandroid-build-merger <android-build-merger@google.com>Fri Jan 11 10:29:04 2019 -0800
treea962931f614c8f6693b7beeee7b776a61b9a068f
parent6b8952939a03268915a94cebe38cc5d65e3e07e2 [diff]
parent854f2253c26409778e84f518aff306dc800fc0a2 [diff]
Add default code reviewers into OWNERS am: e4cd17b971
am: 854f2253c2

Change-Id: If353ace97cf15a7b85bcb7202c754b4bfec89b6d
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