Liina Kamm

A new way to protect privacy in large-scale genome-wide association studies

Motivation: Increased availability of various genotyping techniques has initiated a race for finding genetic markers that can be used in diagnostics and personalized medicine. Although many genetic risk factors are known, key causes of common diseases with complex heritage patterns are still unknown. Identification of such complex traits requires a targeted study over a large collection of data. Ideally, such studies bring together data from many biobanks. However, data aggregation on such a large scale raises many privacy issues. Results: We show how to conduct such studies without violating privacy of individual donors and without leaking the data to third parties. The presented solution has provable security guarantees. Contact: jaak.vilo@ut.ee Supplementary information: Supplementary data are available at Bioinformatics online.

Secure floating point arithmetic and private satellite collision analysis

In this paper, we show that it is possible and, indeed, feasible to use secure multiparty computation (SMC) for calculating the probability of a collision between two satellites. For this purpose, we first describe basic floating point arithmetic operators (addition and multiplication) for multiparty computations. The operators are implemented on the

Students and Taxes: a Privacy-Preserving Study Using Secure Computation

{\textsc {Sharemind}}

From Keys to Databases—Real-World Applications of Secure Multi-Party Computation

SHAREMIND SMC engine. We discuss the implementation details, provide methods for evaluating example elementary functions (inverse, square root, exponentiation of

Rmind: a tool for cryptographically secure statistical analysis.

e

Flexible Database Platform for Biomedical Research with Multiple User Interfaces and a Universal Query Engine.

e, error function). Using these primitives, we implement a satellite conjunction analysis algorithm and give benchmark results for the primitives as well as the conjunction analysis itself.