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RAPPOR
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.
Publications
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
Links
- Google Blog Post about RAPPOR
- RAPPOR implementation in Chrome
- This is a production quality C++ implementation, but it's somewhat tied to Chrome, and doesn't support all privacy parameters (e.g. only a few values of p and q). On the other hand, the code in this repo is not yet production quality, but supports experimentation with different parameters and data sets. Of course, anyone is free to implement RAPPOR independently as well.
- Mailing list: rappor-discuss@googlegroups.com