commit | 854f2253c26409778e84f518aff306dc800fc0a2 | [log] [tgz] |
---|---|---|
author | Chih-Hung Hsieh <chh@google.com> | Fri Jan 11 10:16:24 2019 -0800 |
committer | android-build-merger <android-build-merger@google.com> | Fri Jan 11 10:16:24 2019 -0800 |
tree | a962931f614c8f6693b7beeee7b776a61b9a068f | |
parent | c7558af548244991d2e5019d05f090688f5222f0 [diff] | |
parent | e4cd17b9715d471c25f36a0bc0c5317c40a7bc01 [diff] |
Add default code reviewers into OWNERS am: e4cd17b971 Change-Id: I7a3aba2bd90898e5ebcff546df7df1c9db1f8b0e
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.