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gerrit-public.fairphone.software / platform / external / rappor / 91292475726d57c6480bb657ad30a58405e4edd9
commit91292475726d57c6480bb657ad30a58405e4edd9[log] [tgz]
authorXin Li <delphij@google.com>Fri Apr 10 03:19:16 2020 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>Fri Apr 10 03:19:16 2020 +0000
treee7a85c54a5464b0b80fac602b959c1a9217e097d
parent6cd4c4787041621da2c943ec1ba64ff3834ee154 [diff]
parentff2101a1b49be70691588c3789f7368024f62389 [diff]
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Change-Id: Ie8f9c7811a1d82c49997548fb92330cea233d9f0
tree: e7a85c54a5464b0b80fac602b959c1a9217e097d
  1. client/
  2. Android.bp
  3. LICENSE
  4. MODULE_LICENSE_APACHE2
  5. OWNERS
  6. README.android
  7. README.md
  8. 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