1 RAPPOR 2 ====== 3 4 RAPPOR is a novel privacy technology that allows inferring statistics about 5 populations while preserving the privacy of individual users. 6 7 This repository contains simulation and analysis code in Python and R. 8 9 For a detailed description of the algorithms, see the 10 [paper](http://arxiv.org/abs/1407.6981) and links below. 11 12 Feel free to send feedback to 13 [rappor-discuss (a] googlegroups.com][group]. 14 15 ------------- 16 17 - [RAPPOR Data Flow](http://google.github.io/rappor/doc/data-flow.html) 18 19 Publications 20 ------------ 21 22 - [RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response](http://arxiv.org/abs/1407.6981) 23 - [Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries](http://arxiv.org/abs/1503.01214) 24 25 Links 26 ----- 27 28 - [Google Blog Post about RAPPOR](http://googleresearch.blogspot.com/2014/10/learning-statistics-with-privacy-aided.html) 29 - [RAPPOR implementation in Chrome](http://www.chromium.org/developers/design-documents/rappor) 30 - This is a production quality C++ implementation, but it's somewhat tied to 31 Chrome, and doesn't support all privacy parameters (e.g. only a few values 32 of p and q). On the other hand, the code in this repo is not yet 33 production quality, but supports experimentation with different parameters 34 and data sets. Of course, anyone is free to implement RAPPOR independently 35 as well. 36 - Mailing list: [rappor-discuss (a] googlegroups.com][group] 37 38 [group]: https://groups.google.com/forum/#!forum/rappor-discuss 39
