commit | c8e7b6f25053a73c4bea43b441cb337a675adda5 | [log] [tgz] |
---|---|---|
author | Scott Lobdell <slobdell@google.com> | Tue Mar 05 11:56:37 2019 -0800 |
committer | Scott Lobdell <slobdell@google.com> | Tue Mar 05 16:53:29 2019 -0800 |
tree | 5b9ab3f02d73297c500224125f9cc44ffa60eec3 | |
parent | c27049bc4301101e16f4e1192da5d81f7da84b1e [diff] | |
parent | e7a269ba8a9297e85d76c03c0fade6a6f38cab87 [diff] |
Merge QP1A.190228.005 Change-Id: I994cff2b8bd528dbeb97bbcaa5ff07a9cd7f9846
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.