In many important applications, a collection of mutually distrustful parties must perform private computation over multisets. Each party’s input to the function is his private i...
Recently there has been a significant amount of work on privacy-preserving set operations, including: set intersection [14, 6, 21, 9], testing set disjointness [17], multi-set ope...
Secure multiparty computation (MPC) allows joint privacy-preserving computations on data of multiple parties. Although MPC has been studied substantially, building solutions that ...
Martin Burkhart, Mario Strasser, Dilip Many, Xenof...
We present PRISM, a privacy-preserving scheme for word search in cloud computing. In the face of a curious cloud provider, the main challenge is to design a scheme that achieves pr...
Erik-Oliver Blass, Roberto Di Pietro, Refik Molva,...
Machine learning techniques are widely used in negotiation systems. To get more accurate and satisfactory learning results, negotiation parties have the desire to employ learning ...