There are two main security concerns in outsourcing computations. One is how to protect the
privacy of the outsourced data, and the other is how to ensure the correctness of the …

Homomorphic secret sharing (HSS) allows multiple input clients to secret-share their data
among multiple servers such that each server is able to locally compute a function on its …

An-homomorphic secret sharing (HSS) scheme for a function family allows clients to share
their data among servers and then distribute the computation of any function to the servers …

In this paper, we explore the multi-server (ie, multiple servers are employed to perform
computations) and multi-client (ie, multiple clients outsource joint computations on their joint …

In many situations, clients (eg, researchers, companies, hospitals) need to outsource joint
computations based on joint inputs to external cloud servers in order to provide useful …

Homomorphic secret sharing (HSS) allows n clients to secret-share data to m servers, who
can then homomorphically evaluate public functions over the shares. A natural application is …

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 outsourcing of computation to cloud servers has attracted much attention in recent
years. In a typical outsourcing scenario, the client stores its data on a cloud server and later …

Secret sharing is an important component of cryptography protocols and has a wide range of
practical applications. However, the existing secret sharing schemes cannot apply to …

Often clients (eg, sensors, organizations) need to outsource joint computations that are
based on some joint inputs to external untrusted servers. These computations often rely on …