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gerrit-public.fairphone.software / platform / external / rappor / 785151e597c0ad1fec02dbdb1da00ee8965d3003
commit785151e597c0ad1fec02dbdb1da00ee8965d3003[log] [tgz]
authorandroid-build-team Robot <android-build-team-robot@google.com>Fri Feb 19 04:04:38 2021 +0000
committerandroid-build-team Robot <android-build-team-robot@google.com>Fri Feb 19 04:04:38 2021 +0000
tree64f402d10e4c15382a80284407bd56e01692a250
parentf1117eee7b523d84e4c62d95c874b62c46bd5541 [diff]
parent372762376e9c4543d5345ace9591118d498892a0 [diff]
Snap for 7155439 from 372762376e9c4543d5345ace9591118d498892a0 to tm-release

Change-Id: I515aa21375f6a57fe719f8c8c471fe8551dd3f0a
tree: 64f402d10e4c15382a80284407bd56e01692a250
  1. client/
  2. Android.bp
  3. LICENSE
  4. METADATA
  5. MODULE_LICENSE_APACHE2
  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