Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
We propose a more efficient privacy preserving set intersection protocol which improves the previously known result by a factor of O(N) in both the computation and communication c...
Anonymity is one of the main concerns in group-oriented cryptography. However, most efforts, for instance, group signatures and ring signatures, are only made to provide anonymity ...
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
Abstract—In this paper, we consider privacy challenges in eventdriven pervasive spaces where multimedia streams captured by sensors embedded in the infrastructure are used to det...