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gerrit-public.fairphone.software / platform / external / rappor / d2bb5655b175ec16e5f242528edd16cde914dafa
commitd2bb5655b175ec16e5f242528edd16cde914dafa[log] [tgz]
authorandroid-build-team Robot <android-build-team-robot@google.com>Thu Aug 09 03:08:23 2018 +0000
committerandroid-build-team Robot <android-build-team-robot@google.com>Thu Aug 09 03:08:23 2018 +0000
tree308f9979f2ea7bc08fed5ee43022c3ec51e75688
parent86a61858adf1d89273ce849e88db3929df64785a [diff]
parent382d2809d14610d73cd18533cc8622362cdf9119 [diff]
Snap for 4942340 from 382d2809d14610d73cd18533cc8622362cdf9119 to qt-release

Change-Id: Ib8d47401175834894b2181c8c968d8f9eb344fb3
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