RAPPOR
Google (United States) · University of Southern California
Abstract
Randomized Aggregatable Privacy-Preserving Ordinal Response, or RAPPOR, is a technology for crowdsourcing statistics from end-user client software, anonymously, with strong privacy guarantees. In short, RAPPORs allow the forest of client data to be studied, without permitting the possibility of looking at individual trees. By applying randomized response in a novel manner, RAPPOR provides the mechanisms for such collection as well as for efficient, high-utility analysis of the collected data. In particular, RAPPOR permits statistics to be collected on the population of client-side strings with strong privacy guarantees for each client, and without linkability of their reports. This paper describes and…
Citation impact
- FWCI
- 37.63
- Percentile
- 100%
- References
- 26
Authors
3- ÚEÚlfar ErlingssonCorresponding
Google (United States)
- VPVasyl Pihur
Google (United States)
- AKAleksandra Korolova
University of Southern California
Topics & keywords
- Randomized response
- Population
- Crowdsourcing
- Software deployment
- Closing (real estate)
- Data collection