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android / platform / external / rappor / 8e15ed6a9bdeda6478fd2c6329c7e739bdbe828f
commit8e15ed6a9bdeda6478fd2c6329c7e739bdbe828f[log] [tgz]
authorandroid-build-team Robot <android-build-team-robot@google.com>Sun Feb 25 08:24:34 2018 +0000
committerandroid-build-team Robot <android-build-team-robot@google.com>Sun Feb 25 08:24:34 2018 +0000
tree732cf0726417242e03089df1a39b6817631363e8
parent929c2051e29ccfa4d8a3e99db0e69f62f3eecb0f [diff]
parentd7d7224871594ee626d6d0cbc91f16d64536be99 [diff]
Snap for 4620899 from d7d7224871594ee626d6d0cbc91f16d64536be99 to pi-release

Change-Id: I1124913d97fdf0c5b741ef09ba58c5f1a7a7de94
tree: 732cf0726417242e03089df1a39b6817631363e8
  1. client/
  2. Android.bp
  3. Android.mk
  4. LICENSE
  5. MODULE_LICENSE_APACHE2
  6. NOTICE
  7. README.android
  8. README.md
  9. 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