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gerrit-public.fairphone.software / platform / external / rappor / 333c744c8f05aab2ca554629131e968606cf81f3
commit333c744c8f05aab2ca554629131e968606cf81f3[log] [tgz]
authorAndroid Build Coastguard Worker <android-build-coastguard-worker@google.com>Mon Dec 20 11:04:03 2021 +0000
committerAndroid Build Coastguard Worker <android-build-coastguard-worker@google.com>Mon Dec 20 11:04:03 2021 +0000
tree64f402d10e4c15382a80284407bd56e01692a250
parentb5fb11f8e4fdaf53603864481a8a82dbaf5b89a6 [diff]
parent023071dd1bd69532e69fff5010e60a4790e93f97 [diff]
Snap for 8014993 from 023071dd1bd69532e69fff5010e60a4790e93f97 to s-keystone-qcom-release

Change-Id: If5e65680d5146f9a9d5fe0c0c542d647cdfe4c8c
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