Abstract The Internet of Things (IoT) is poised to transform human life and unleash
enormous economic benefit. However, inadequate data security and trust of current IoT are …

In a data-driven society, individuals and companies encounter numerous situations where
private information is an important resource. How can parties handle confidential data if they …

We show that verifiable secret sharing (VSS) and secure multi-party computation (MPC)
among a set of n players can efficiently be based on any linear secret sharing scheme …

The goal of secure multiparty computation is to transform a given protocol involving a trusted
party into a protocol without need for the trusted party, by simulating the party among the …

Known secure multi-party computation protocols are quite complex, involving non-trivial
mathematical structures and sub-protocols. The purpose of this paper is to present a very …

These lecture notes introduce the notion of secure multiparty computation. We introduce
some concepts necessary to define what it means for a multiparty protocol to be secure, and …

Secure multi-party computation (MPC) is an active research area, and a wide range of
literature can be found nowadays suggesting improvements and generalizations of existing …

Secure multi-party computation allows a set of players to jointly compute an arbitrary
function of their inputs, without revealing these inputs to each other. For example, the …

Abstract A Private Information Retrieval (PIR) protocol allows a user to retrieve a data item of
its choice from a database, such that the servers storing the database do not gain …

In this work, we initiate the study of network agnostic MPC protocols with statistical security.
Network agnostic MPC protocols give the best possible security guarantees, irrespective of …