In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
Abstract. In a distributed system, dynamically dividing execution between nodes is essential for service robustness. However, when all of the nodes cannot be equally trusted, and w...
We present an efficient protocol for the privacy-preserving, distributed learning of decision-tree classifiers. Our protocol allows a user to construct a classifier on a database h...