Recent developments in a variety of sectors, including health care, research and the direct-
to-consumer industry, have led to a dramatic increase in the amount of genomic data that …

We are entering an era of ubiquitous genetic information for research, clinical care and
personal curiosity. Sharing these data sets is vital for progress in biomedical research …

Genome sequencing technology has advanced at a rapid pace and it is now possible to
generate highly-detailed genotypes inexpensively. The collection and analysis of such data …

Motivation We introduce PRINCESS, a privacy-preserving international collaboration
framework for analyzing rare disease genetic data that are distributed across different …

Machine learning can have a major societal impact in computational biology applications. In
particular, it plays a central role in the development of precision medicine, whereby …

In this paper, we propose privacy-enhancing technologies for medical tests and
personalized medicine methods that use patients' genomic data. Focusing on genetic …

Genomic data hold salient information about the characteristics of a living organism.
Throughout the past decade, pinnacle developments have given us more accurate and …

Re-use of patients' health records can provide tremendous benefits for clinical research. Yet,
when researchers need to access sensitive/identifying data, such as genomic data, in order …

When two or more parties need to compute a common result while safeguarding their
sensitive inputs, they use secure multiparty computation (SMC) techniques such as garbled …

Recently, the rapid advance in genome sequencing technology has led to production of
huge amount of sensitive genomic data. However, a serious privacy challenge is confronted …