Recent research identifies a growing privacy problem that exists within Online Social Networks (OSNs). Several studies have shown how easily strangers can extract personal data a...
—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...
We want assurances that sensitive information will not be disclosed when aggregate data derived from a database is published. Differential privacy offers a strong statistical guar...
We study privacy-preserving query answering over data containing relationships. A social network is a prime example of such data, where the nodes represent individuals and edges r...
Vibhor Rastogi, Michael Hay, Gerome Miklau, Dan Su...
Images of the MRI signal intensity are normally constructed by taking the magnitude of the complex-valued data. This results in a biased estimate of the true signal intensity. We c...
M. Dylan Tisdall, M. Stella Atkins, R. A. Lockhart