Abstract. In this paper, we present a protocol for computing the principal eigenvector of a collection of data matrices belonging to multiple semi-honest parties with privacy const...
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among parties i...
Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, L...
Homomorphic encryption (HE) schemes enable computing functions on encrypted data, by means of a public Eval procedure that can be applied to ciphertexts. But the evaluated ciphert...
Secure Multiparty Computation (SMC) has gained tremendous importance with the growth of the Internet and E-commerce, where mutually untrusted parties need to jointly compute a fun...
Server-based collaborative filtering systems have been very successful in e-commerce and in direct recommendation applications. In future, they have many potential applications in...