Most of our lives are conducted in the cyberspace. The human notion of privacy translates
into a cyber notion of privacy on many functions that take place in the cyberspace. This …

Privacy-preserving techniques for processing sets of information have attracted the research
community's attention in recent years due to society's increasing dependency on the …

Abstract Artificial intelligence employs Machine Learning (ML) and Deep Learning (DL) to
analyze data. In both, the data is stored centrally. The data involved may be sensitive and …

Multi-party private set intersection (MP-PSI), an essential branch of secure multiparty
computation (SMC), enables multiple users to collaboratively determine the intersection of …

Data island effectively blocks the practical application of machine learning. To meet this
challenge, a new framework known as federated learning was created. It allows model …

Private set intersection protocols allow two parties with private sets of data to compute the
intersection between them without leaking other information about their sets. These …

Section 702 of the Foreign Intelligence Surveillance Act authorizes US intelligence agencies
to intercept communications content without obtaining a warrant. While Section 702 requires …

We consider the problem of symmetric private information retrieval (SPIR) with user-side
common randomness. In SPIR, a user retrieves a message out of messages from non …

We introduce the problem of random symmetric private information retrieval (RSPIR). In
canonical PIR, a user downloads a message out of K messages from N non-colluding and …

In the era of big data with an ever-increasing amount of data, the demand for data
processing is increasing, and various computing service agreements have also been …