We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the same amount of preservation for...
Privacy in data publishing has received much attention recently. The key to defining privacy is to model knowledge of the attacker ? if the attacker is assumed to know too little,...
Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjh...
This paper presents a model for privacy preserving access control which is based on variety of purposes. Conditional purpose is applied along with allowed purpose and prohibited p...
Abstract. Face recognition is increasingly deployed as a means to unobtrusively verify the identity of people. The widespread use of biometrics raises important privacy concerns, i...
Zekeriya Erkin, Martin Franz, Jorge Guajardo, Stef...
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...