Rmind: A Tool for Cryptographically Secure Statistical Analysis
Dan Bogdanov, Liina Kamm, Sven Laur, Ville Sokk · IEEE Transactions on Dependable and Secure Computing · 2016
Secure multi-party computation is a practical cryptographic method for processing confidential data. Research progress has led to its use in privacy-preserving statistical analysis. Implementations of simple statistical analysis functions have been published, but no comprehensive tool has been built. We describe and implement a suite of most used statistical analysis functions in the privacy-preserving setting including simple statistics, t-test, chi-squared test, Wilcoxon tests and linear regression. We give descriptions of the privacy-preserving algorithms and benchmark results that show an order of magnitude improvement over previous work.