Abstract Secure Multi-party Computation (SMPC) is a family of protocols which allow some
parties to compute a function on their private inputs, obtaining the output at the end and …

Many recent private set intersection (PSI) protocols encode input sets as polynomials. We
consider the more general notion of an oblivious key-value store (OKVS), which is a data …

We address the problem of multiparty private set intersection against a malicious adversary.
First, we show that when one can assume no collusion amongst corrupted parties then there …

In this paper, we study oblivious key-value stores (OKVS) that enable encoding n key-value
pairs into length m encodings while hiding the input keys. The goal is to obtain high rate …

The growing volumes of data being collected and its analysis to provide better services are
creating worries about digital privacy. To address privacy concerns and give practical …

The demand for privacy-preserving retrieval of sensitive data arises in various practical
scenarios, from national security to personal data privacy. The typical scenario involves two …

Pushes for increased power of Law Enforcement (LE) for data retention and centralized
storage result in legal challenges with data protection law and courts-and possible violations …

Private set intersection (PSI) has attracted the researchers and the developers both from
academia and industry in cooperating the private data to achieve privacy preserving …

We describe a new paradigm for multi-party private set intersection cardinality (PSI-CA) that
allows n parties to compute the intersection size of their datasets without revealing any …

Multi-party private set intersection (MPSI) allows n (n\geq3) participants, each holding a
dataset of size m, to compute the intersection of their sets without revealing any additional …