This paper describes EPFL privacy protection tool for the MediaEval 2014 Visual Privacy task. The goal of the task is to obscure faces, body silhouettes, and personal items of people in the provided surveillance clips to preserve their personal privacy. The EPFL privacy protection tool mainly relies on two privacy protection filters: a warping-based reversible filter to obscure features with lo...

This paper proposes a research methodology to studying the differential value that individuals place on their own personal information with reference to data protection, security, and markets for privacy. Gopal et al. [2006] shows that there is a technological solution, the CVC-STAR approach, for the differential protection of numerical data in a market for personal information. Differential pr...

Perturbing information, before being shared with untrusted entities, is an effective and widely proposed approach to protect users’ privacy. However, the privacy of users and the utility of the obfuscated information are at odds with each other, and increasing one results in decreasing the other. In this paper, we propose a methodology for designing protection mechanisms that optimally trade ut...