In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Privacy-preserving SQL computation in distributed relational database is one of important applications of secure multiparty computation. In contrast with comparatively more works o...
We propose an efficient and flexible system for a secure and authentic data exchange in a multiinstitutional environment, where the institutions maintain different databases and p...
Arne Ansper, Ahto Buldas, Margus Freudenthal, Jan ...
Distributed systems are typically designed for scale and performance first, which makes it difficult to add security later without affecting the original properties. This paper ...
In recent work, we proposed D-Trigger, a framework for tracking a global condition over a large network that allows us to detect anomalies while only collecting a very limited amo...
Ling Huang, Minos N. Garofalakis, Anthony D. Josep...