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 …

The sharing of genomic data holds great promise in advancing precision medicine and
providing personalized treatments and other types of interventions. However, these …

The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system
and the amount of protection offered by privacy-enhancing technologies. In this way, privacy …

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 …

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 …

Genomics data introduce a substantial computational burden as well as data privacy and
ownership issues. Data sets generated by high-throughput sequencing platforms require …

These days genomic sequence analysis provides a key way of understanding the biology of
an organism. However, since these sequences contain much private information, it can be …

Homomorphic encryption has become a practical solution for protecting the privacy of
computations on sensitive data. However, existing homomorphic encryption pipelines do not …

Cloud computing offers various services to users by re-arranging storage and computing
resources. In order to preserve data privacy, cloud users may choose to upload encrypted …

Cloud computing provides an efficient and convenient platform for cloud users to store,
process and control their data. Cloud overcomes the bottlenecks of resource-constrained …