Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
Abstract. Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively fe...
The previous literature of privacy preserving data publication has focused on performing "one-time" releases. Specifically, none of the existing solutions supports re-pu...
By functionally decomposing a specific algorithm (the hierarchical secure aggregation algorithm of Chan et al. [3] and Frikken et al. [7]), we uncover a useful general functionali...
A statistical database (StatDB) retrieves only aggregate results, as opposed to individual tuples. This paper investigates the construction of a privacy preserving StatDB that can...