This paper presents preliminary results on anonymization and obfuscation techniques to preserve users' privacy in context-aware service provisioning. The techniques are based...
Linda Pareschi, Daniele Riboni, Alessandra Agostin...
Online social networks often involve very large numbers of users who share very large volumes of content. This content is increasingly being tagged with geo-spatial and temporal c...
Dario Freni, Carmen Ruiz Vicente, Sergio Mascetti,...
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...