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 …

Machine learning and statistical techniques are powerful tools for analyzing large amounts
of medical and genomic data. On the other hand, ethical concerns and privacy regulations …

Private set intersection (PSI) allows two parties to compute the intersection of their sets
without revealing any information about items that are not in the intersection. It is one of the …

We present a new protocol for two-party private set intersection (PSI) with semi-honest
security in the plain model and one-sided malicious security in the random oracle model …

Large scale data processing brings new challenges to the design of privacy-preserving
protocols: how to meet the increasing requirements of speed and throughput of modern …

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 …

Private Set Intersection (PSI) allows two parties, the sender and the receiver, to compute the
intersection of their private sets without revealing extra information to each other. We are …

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 …

Healthcare monitoring systems in hospitals and other health centers have witnessed
throughout the last decade a tremendous growth and wireless healthcare monitoring …

Abstract The dissemination of Electronic Health Records (EHRs) can be highly beneficial for
a range of medical studies, spanning from clinical trials to epidemic control studies, but it …