Large scale data processing brings new challenges to the design of privacy-preserving
protocols: how to meet the increasing requirements of speed and throughput of modern …

In this paper, we propose a toolkit for efficient and privacy-preserving outsourced calculation
under multiple encrypted keys (EPOM). Using EPOM, a large scale of users can securely …

Networked control systems with encrypted sensors measurements is considered. Semi-
homomorphic encryption, specifically the Paillier encryption, is used so that the controller …

Cosegmentation is typically defined as the task of jointly segmenting “something similar” in a
given set of images. Existing methods are too generic and so far have not demonstrated …

In this paper, we propose a framework for efficient and privacy-preserving outsourced
calculation of rational numbers, which we refer to as POCR. Using POCR, a user can …

Abstract Private Set Intersection Cardinality (PSI-CA) allows two parties, each holding a set
of items, to learn the size of the intersection of those sets without revealing any additional …

We examine the feasibility of private set intersection (PSI) over massive datasets. PSI, which
allows two parties to find the intersection of their sets without revealing them to each other …

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 …

Outsourcing data to the cloud can be considered as a perfect solution for the storage and
computationally constrained data owners. However, data confidentiality is compromised …

Geometric range search is a fundamental primitive for spatial data analysis in SQL and
NoSQL databases. It has extensive applications in location-based services, computer-aided …