As the amount of personal information stored at remote service providers increases, so does the danger of data theft. When connections to remote services are made in the clear and ...
Claude Castelluccia, Emiliano De Cristofaro, Danie...
—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...
Distance-preserving projection based perturbation has gained much attention in privacy-preserving data mining in recent years since it mitigates the privacy/accuracy tradeoff by ac...
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...