Cloud computing is a long‐standing dream of computing as a utility, where users can store
their data remotely in the cloud to enjoy on‐demand services and high‐quality applications …

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 …

Secure multi-party computation (MPC) has evolved from a theoretical curiosity in the 1980s
to a tool for building real systems today. Over the past decade, MPC has been one of the …

Secure multi-party computation (MPC) allows a group of mutually distrustful parties to
compute a joint function on their inputs without revealing any information beyond the result …

The increasing volume of personal and sensitive data being harvested by data controllers
makes it increasingly necessary to use the cloud not just to store the data, but also to …

As concerns are increasingly raised about data privacy, encrypted database management
system (DBMS) based on fully homomorphic encryption (FHE) attracts increasing research …

Face recognition has become increasingly popular in recent years. However, in some
special cases, many face recognition calculations cannot be performed effectively due to the …

Outsourcing computations have been widely used to meet the growing computing demands,
although achieving trust in an untrusted (or a zero-trust) environment can be challenging in …

While centralized servers pose a risk of being a single point of failure, decentralized
approaches like blockchain offer a compelling solution by implementing a consensus …

Secure outsourced computation is a key technique for protecting data security and privacy in
the cloud. Although fully homomorphic encryption (FHE) enables computations over …