Many existing privacy-preserving techniques for querying distributed databases of sensitive information do not scale for large databases due to the use of heavyweight cryptographi...
Sherman S. M. Chow, Jie-Han Lee, Lakshminarayanan ...
Abstract. We present protocols for distributed computation of relational intersections and equi-joins such that each site gains no information about the tuples at the other site th...
When datasets are distributed on different sources, finding out their intersection while preserving the privacy of the datasets is a widely required task. In this paper, we addre...
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...