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android / platform / external / rappor / refs/tags/t_frc_sch_330443010
tagcf4ec1c990679a46a158e2785c863f294405f55d
taggerThe Android Open Source Project <initial-contribution@android.com>Wed Aug 31 06:51:29 2022 -0700
object912f8cc3fe4b53ebe8931f8f593e18a4f07c96b6 
t_frc_sch_330443010
commit912f8cc3fe4b53ebe8931f8f593e18a4f07c96b6[log] [tgz]
authorXin Li <delphij@google.com>Wed Jun 02 16:50:33 2021 +0000
committerXin Li <delphij@google.com>Wed Jun 02 16:50:33 2021 +0000
tree64f402d10e4c15382a80284407bd56e01692a250
parent372762376e9c4543d5345ace9591118d498892a0 [diff]
parentd0076efcccf4b1917c2f97e8408c0951f833a929 [diff]
Merge sc-mainline-prod

Bug: 189946434
Change-Id: Ibbf53b4f34c24c3c514257a5f849e689f83e7cb3
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