Paper 2014/512 Original: eprint.iacr.org/2014/512 ↗
Rmind: a tool for cryptographically secure statistical analysis
Abstract
Secure multi-party computation platforms are becoming more and more practical. This has paved the way for privacy-preserving statistical analysis using secure multi-party computation. Simple statistical analysis functions have been emerging here and there in literature, but no comprehensive system has been compiled. We describe and implement the most used statistical analysis functions in the privacy-preserving setting including simple statistics, t-test, $\chi^{2}$ test, Wilcoxon tests and linear regression. We give descriptions of the privacy-preserving algorithms and benchmark results that show the feasibility of our solution.
Metadata
- Available format(s)
PDF- Category
- Implementation
- Publication info
- Preprint.
- History
- 2014-12-03: last updated
- 2014-06-30: published
- Short URL
- https://ia.cr/2014/512
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2014/512,
author = {Dan Bogdanov and Liina Kamm and Sven Laur and Ville Sokk},
title = {Rmind: a tool for cryptographically secure statistical analysis},
howpublished = {Cryptology {ePrint} Archive, Paper 2014/512},
year = {2014},
url = {https://eprint.iacr.org/2014/512}
}