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gerrit-public.fairphone.software / platform / external / rappor / 65ac5feb83da6f5bf2cd1a81c00bf3f9bccc0e2b
commit65ac5feb83da6f5bf2cd1a81c00bf3f9bccc0e2b[log] [tgz]
authorandroid-build-team Robot <android-build-team-robot@google.com>Tue Oct 03 08:13:48 2017 +0000
committerandroid-build-team Robot <android-build-team-robot@google.com>Tue Oct 03 08:13:48 2017 +0000
tree50bb0e9b627d8aa75449a6c0338fbd232fa9ce55
parent94820f63f296be8aec8c1eab1a280f45fc5581d9 [diff]
parentb5c3d4d14f7373e0f9f7e6fc5329c41b89c892f3 [diff]
Snap for 4373608 from b5c3d4d14f7373e0f9f7e6fc5329c41b89c892f3 to pi-release

Change-Id: I19834d517a71fd025253067f19245ed3753cfb2a
tree: 50bb0e9b627d8aa75449a6c0338fbd232fa9ce55
  1. client/
  2. Android.mk
  3. LICENSE
  4. README.android
  5. README.md
  6. 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