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android / platform / external / rappor / e0badd003bc38e37aa7d4e06545412f70eb0e802
commite0badd003bc38e37aa7d4e06545412f70eb0e802[log] [tgz]
authorBob Badour <bbadour@google.com>Mon Mar 30 17:59:20 2020 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>Mon Mar 30 17:59:20 2020 +0000
treee7a85c54a5464b0b80fac602b959c1a9217e097d
parent24abc025df68928ce97749b18521c4dbfa3faaf7 [diff]
parent91485fdad65a71bb4162fcf4d31df11fce1abcbc [diff]
Remove redundant NOTICE copied from LICENSE. am: 30b179de71 am: 91485fdad6

Change-Id: I562d8460198c2cf0a06f7a421c906b50bbff83e8
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