With the prevalence of outsourced computation, such as Machine Learning as a Service,
protecting the privacy of sensitive data throughout the whole computation is a critical yet …

With the advent and development of database applications such as big data and data
mining, how to ensure the availability of data without revealing sensitive information has …

We consider the secure search problem of retrieving from an unsorted data cost=(x_1,..., xm)
an item (i, xi) matching a given lookup value l (for a generic matching criterion either …

An $\varepsilon $-coreset for a given set $ D $ of $ n $ points, is usually a small weighted
set, such that querying the coreset\emph {provably} yields a $(1+\varepsilon) $-factor …

Abstract An (n, m, t)-homomorphic secret sharing (HSS) scheme allows n clients to share
their inputs across m servers, such that the inputs are hidden from any t colluding servers …

Secure search is the problem of securely retrieving from a database table (or any unsorted
array) the records matching specified attributes, as in SQL``SELECT... WHERE...''queries …

Homomorphic Encryption (HE) is a very attractive solution to ensure privacy when
outsourcing confidential data to the cloud, as it enables computation on the data without de …

We describe a method for approximating any bounded activation function given encrypted
input data. The utility of our method is exemplified by simulating it within two typical machine …

Driven by artificial intelligence, cloud computing, autonomous driving, the Internet of Things,
blockchain, quantum computing, and other emerging technologies and applications …

Our team has been studying dynamically reconfigurable chips since 2006. In 2014, we wrote
the book “Reconfigurable Computing” and published it in Science Press. The book …