Large-scale data breaches exposing sensitive personal information are becoming commonplace. For numerous reasons, conventional personal (identification) information leaks from da...
In the setting of secure multiparty computation, a set of mutually distrustful parties wish to securely compute some joint function of their private inputs. The computation should...
We address privacy-preserving classification problem in a distributed system. Randomization has been the approach proposed to preserve privacy in such scenario. However, this appr...
Media space applications that promote informal awareness in an organization confront an inevitable paradox: the shared video connections between offices and rooms that promote inf...
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...