Rmind: A Tool for Cryptographically Secure Statistical Analysis

Dan Bogdanov, Liina Kamm, Sven Laur, Ville Sokk
2018 IEEE Transactions on Dependable and Secure Computing  
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, χ 2 test, Wilcoxon tests and linear
more » ... ession. We give descriptions of the privacy-preserving algorithms and benchmark results that show the feasibility of our solution.
doi:10.1109/tdsc.2016.2587623 fatcat:7iw65bregfeaxn44eaew4nwhem