Several proposals have been published in recent years for database programming languages (DBPLs), many of which have been object-oriented. Our goal in this paper is not to argue f...
Antonio Albano, Alan Dearle, Giorgio Ghelli, Chris...
The goal of this paper is to permit secure outsourced system evaluation. We propose a method for generating synthetic databases and obfuscating a workload of queries in order to pr...
Random data perturbation (RDP) has been in use for several years in statistical databases and public surveys as a means of providing privacy to individuals while collecting informa...
Background: RNA interference has revolutionized our ability to study the effects of altering the expression of single genes in mammalian (and other) cells through targeted knockdo...
Jyoti K. Shah, Harold R. Garner, Michael A. White,...
—In industries such as healthcare, there is a need to electronically share privacy-sensitive data across distinct organizations. We show how this can be done while allowing organ...