commit | c27049bc4301101e16f4e1192da5d81f7da84b1e | [log] [tgz] |
---|---|---|
author | Scott Lobdell <slobdell@google.com> | Tue Jan 22 18:03:10 2019 -0800 |
committer | Scott Lobdell <slobdell@google.com> | Tue Jan 22 18:03:10 2019 -0800 |
tree | 5b9ab3f02d73297c500224125f9cc44ffa60eec3 | |
parent | cf4963eda85122bc6f2ec9039cc81bd9a50c688b [diff] | |
parent | ab0d2ac2ad20528f12a2f9337e509cea746f4b9d [diff] |
Merge QP1A.190122.001 Change-Id: If06d9d062b506fda28dd8d5c6bb4c8ea313c53bc
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.