We present Chameleon, a novel hybrid (mixed-protocol) framework for secure function
evaluation (SFE) which enables two parties to jointly compute a function without disclosing …

Abstract Secure Multi-Party Computation (SMPC) is a generic cryptographic primitive that
enables distributed parties to jointly compute an arbitrary functionality without revealing their …

When two or more parties need to compute a common result while safeguarding their
sensitive inputs, they use secure multiparty computation (SMC) techniques such as garbled …

We introduce Tiny Garble, a novel automated methodology based on powerful logic
synthesis techniques for generating and optimizing compressed Boolean circuits used in …

While secure multi-party computation (MPC) is a vibrant research topic and a multitude of
practical MPC applications have been presented recently, their development is still a tedious …

Recent developments in secure computation have led to significant improvementsin
efficiency and functionality. These efforts created compilers that form thebackbone of …

Garbled circuits provide a powerful tool for jointly evaluating functions while preserving the
privacy of each user's inputs. While recent research has made the use of this primitive more …

We consider how to perform privacy-preserving analyses on private data from different data
providers and containing personal information of many different individuals. We combine …

In the last decade, we observed a constantly growing number of Location-Based Services
(LBSs) used in indoor environments, such as for targeted advertising in shopping malls or …

Navigation is one of the most popular cloud computing services. But in virtually all cloud-
based navigation systems, the client must reveal her location and destination to the cloud …