K-anonymisation, as an approach to protecting data privacy, has received much recent attention from the database research community. Given a single table, there can be many ways t...
A scheme that publishes aggregate information about sensitive data must resolve the trade-off between utility to information consumers and privacy of the database participants. D...
Processing of top-k queries has been attracting considerable attention. Much of the work assumes distributed data, with each site holding a different set of attributes for the sam...
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...
In this paper we investigate the feasibility and efficiency of mapping XML data and access control policies onto relational and native XML databases for storage and querying. We de...
Lazaros Koromilas, George Chinis, Irini Fundulaki,...