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gerrit-public.fairphone.software / platform / external / rappor / b24c413c381f77ebed0239c4cb83bc5226e8c8ed
commitb24c413c381f77ebed0239c4cb83bc5226e8c8ed[log] [tgz]
authorBob Badour <bbadour@google.com>Mon Mar 30 19:17:35 2020 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>Mon Mar 30 19:17:35 2020 +0000
treee7a85c54a5464b0b80fac602b959c1a9217e097d
parent24abc025df68928ce97749b18521c4dbfa3faaf7 [diff]
parent359dff6e8f8ac825ef91bf6023f5374bdf4b61cd [diff]
Remove redundant NOTICE copied from LICENSE. am: 30b179de71 am: 91485fdad6 am: 6cd4c47870 am: 359dff6e8f

Change-Id: If3c49829de706d7631f990139db71470d8c4d0fb
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