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gerrit-public.fairphone.software / platform / external / rappor / 0f7e980306a6e23733852fd4e55caff69f069bff
commit0f7e980306a6e23733852fd4e55caff69f069bff[log] [tgz]
authorLalit Kansara <lkansara@codeaurora.org>Mon Mar 12 19:38:07 2018 +0530
committerLalit Kansara <lkansara@codeaurora.org>Mon Mar 12 19:38:07 2018 +0530
tree308f9979f2ea7bc08fed5ee43022c3ec51e75688
parent88486a85a47857034df9bec347a6ed8f3bfd9371 [diff]
parent6910307139d1d764b28e26824381a2d4942a9307 [diff]
P PPR1.180311.001 merge 6910307139d1d764b28e26824381a2d4942a9307 - clean

Change-Id: If7c70a8ab09541d755023a00050faa3d9f503e3d
tree: 308f9979f2ea7bc08fed5ee43022c3ec51e75688
  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