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 …

We suggest a method to construct a homomorphic encryption scheme for approximate
arithmetic. It supports an approximate addition and multiplication of encrypted messages …

This paper extends the leveled homomorphic encryption scheme for an approximate
arithmetic of Cheon et al.(ASIACRYPT 2017) to a fully homomorphic encryption, ie, we …

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 …

Most sequenced genomes are currently stored in strict access-controlled repositories,,. Free
access to these data could improve the power of genome-wide association studies (GWAS) …

Despite advances in high-throughput sequencing that have revolutionized the discovery of
gene defects in rare Mendelian diseases, there are still gaps in translating individual …

While deep learning is a valuable tool for solving many tough problems in computer vision,
the success of deep learning models is typically determined by:(i) availability of sufficient …

Disease prediction systems have played an important role in people's life, since predicting
the risk of diseases is essential for people to lead a healthy life. The recent proliferation of …

We present an efficient and non-interactive method for Text Classification while preserving
the privacy of the content using Fully Homomorphic Encryption (FHE). Our solution (named …