Cloud computing and cloud storage have contributed to a big shift in data processing and its
use. Availability and accessibility of resources with the reduction of substantial work is one of …

Precision health leverages information from various sources, including omics, lifestyle,
environment, social media, medical records, and medical insurance claims to enable …

Legacy encryption systems depend on sharing a key (public or private) among the peers
involved in exchanging an encrypted message. However, this approach poses privacy …

A fully homomorphic encryption (FHE) scheme allows anyone to transform an encryption of
a message, m, into an encryption of any (efficient) function of that message, f(m), without …

We present a novel approach to fully homomorphic encryption (FHE) that dramatically
improves performance and bases security on weaker assumptions. A central conceptual …

Motivated by the goal of securely searching and updating distributed data, we introduce and
study the notion of function secret sharing (FSS). This new notion is a natural generalization …

Classical machine learning modeling demands considerable computing power for internal
calculations and training with big data in a reasonable amount of time. In recent years …

We propose a fully homomorphic encryption scheme--ie, a scheme that allows one to
evaluate circuits over encrypted data without being able to decrypt. Our solution comes in …

We propose the first fully homomorphic encryption scheme, solving an old open problem.
Such a scheme allows one to compute arbitrary functions over encrypted data without the …

We construct a simple fully homomorphic encryption scheme, using only elementary
modular arithmetic. We use Gentry's technique to construct a fully homomorphic scheme …