Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...
—Privacy-Preserving Authentication (PPA) is crucial for Radio Frequency Identifcation (RFID)-enabled applications. Without appropriate formal privacy models, it is difficult for...
In this paper, we study the problem of how to generate synthetic graphs matching various properties of a real social network with two applications, privacy preserving social netwo...
Several protocol efficiency metrics (e.g., scalability, search success rate, routing reachability and stability) depend on the capability of preserving structure even over the ch...