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android-review.linaro.org / platform / external / rappor / refs/heads/aml_tz2_305400100
commit2eecc5a6365ebddbac1b93a6bc94f6506036657f[log] [tgz]
authorAndroid Build Coastguard Worker <android-build-coastguard-worker@google.com>Fri Apr 08 16:01:44 2022 +0000
committerAndroid Build Coastguard Worker <android-build-coastguard-worker@google.com>Fri Apr 08 16:01:44 2022 +0000
tree5b9ab3f02d73297c500224125f9cc44ffa60eec3
parent622005bdbe3f3fd199847f3b2a7d2b05afbd21e3 [diff]
parent24abc025df68928ce97749b18521c4dbfa3faaf7 [diff]
Snap for 8426163 from 24abc025df68928ce97749b18521c4dbfa3faaf7 to mainline-tzdata2-release

Change-Id: I5309242cef999339fc6cca2268a45c7b03d449e5
tree: 5b9ab3f02d73297c500224125f9cc44ffa60eec3
  1. client/
  2. Android.bp
  3. LICENSE
  4. MODULE_LICENSE_APACHE2
  5. NOTICE
  6. OWNERS
  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