Despite the rapid increase of data available to train machine-learning algorithms in many
domains, several applications suffer from a paucity of representative and diverse data. The …

Data confidentiality is a central concern in modern computer systems and services, as
sensitive data from users and companies are being increasingly delegated to such systems …

A private data federation is a set of autonomous databases that share a unified query
interface offering in-situ evaluation of SQL queries over the union of the sensitive data of its …

A private data federation enables clients to query the union of data from multiple data
providers without revealing any extra private information to the client or any other data …

As an essential technology underpinning trusted computing, the trusted execution
environment (TEE) allows one to launch computation tasks on both on-and off-premises …

Owner-centric control is a widely adopted method for easing owners' concerns over data
abuses and motivating them to share their data out to gain collective knowledge. However …

Recent studies have shown that systems with limited resources like Metadata-private
Messenger (MPM) suffer from side-channel attacks under resource allocation (RA). In the …

Broadband connectivity is a key metric in today's economy. In an era of rapid expansion of
the digital economy, it directly impacts GDP. Furthermore, with the COVID-19 guidelines of …

A private data federation is a set of autonomous databases that share a unified query
interface offering in-situ evaluation of SQL queries over the union of the sensitive data of its …

Hardware-enabled enclaves have been applied to efficiently enforce data security and
privacy protection in cloud database services. Such enclaved systems, however, are …