Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
Data sharing on public servers has become a popular service on the Internet, in which users can store and share data with other users through public servers. However, because the ...
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. We investigate here,...
Abstract—Private data of individuals is constantly being collected, analyzed, and stored by different kinds of organizations: shopping sites to provide better service and recomme...