commit | 9a5ace53c1f434c87e951084a7e1de8e8f0006b4 | [log] [tgz] |
---|---|---|
author | Michael Schwartz <schwartzmi@google.com> | Fri Aug 24 14:28:32 2018 -0700 |
committer | Michael Schwartz <schwartzmi@google.com> | Fri Aug 24 14:28:32 2018 -0700 |
tree | 308f9979f2ea7bc08fed5ee43022c3ec51e75688 | |
parent | 904a9f19ad43b56a0bba991458cc304ed71d407a [diff] | |
parent | d2bb5655b175ec16e5f242528edd16cde914dafa [diff] |
Merge QP1A.180823.001 Change-Id: I1b742e7d69c298351f2205d753f84cdaecf23271
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.