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gerrit-public.fairphone.software / platform / external / rappor / refs/tags/rel/13/fp3/6.A.023.1
commit81aaefb4b5ca9efd6f685d1b6c5ea26530ba6ad5[log] [tgz]
authorandroid-build-team Robot <android-build-team-robot@google.com>Thu Jun 03 03:04:30 2021 +0000
committerandroid-build-team Robot <android-build-team-robot@google.com>Thu Jun 03 03:04:30 2021 +0000
tree64f402d10e4c15382a80284407bd56e01692a250
parent785151e597c0ad1fec02dbdb1da00ee8965d3003 [diff]
parent912f8cc3fe4b53ebe8931f8f593e18a4f07c96b6 [diff]
Snap for 7418644 from 912f8cc3fe4b53ebe8931f8f593e18a4f07c96b6 to tm-release

Change-Id: Ib3bf9a931f3c462ca9068ab053e1399966e1f725
tree: 64f402d10e4c15382a80284407bd56e01692a250
  1. client/
  2. Android.bp
  3. LICENSE
  4. METADATA
  5. MODULE_LICENSE_APACHE2
  6. OWNERS
  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