Dr. Eran Toch
Crowdsourcing Privacy Preference
In this talk, we will investigate the fascinating interaction between privacy threats and system design, focusing on the challenges that information systems pose for people’s privacy. We will explore several studies that employ crowdsourcing and data mining techniques to help users better manage their privacy and to exercise control over their information. Specifically, we will look at studies that examine time, space and cost as fundamental dimension of privacy: first, how sharing preferences correlate with content aging on an online social network; second, how location sharing can be predicted from a crowd of users; third, the value that users assign to sharing their location. These studies combine algorithm design and user experimentation, and highlight how user models can be used to predict privacy preferences and to serve as a basis for improving the usability of user-controllable privacy mechanisms.
Eran Toch – Short Biography
Eran Toch had joined Tel Aviv University at 2010, as a member of the faculty of Engineering at Tel-Aviv University, at the department of Industrial Engineering. His research is in the field of human-computer interaction, information systems, and artificial intelligence. Eran’s research group is now working on various engineering challenges that revolve around computationally understanding human behavior, and applying this knowledge to solve real-world privacy challenges. Prior to joining Tel Aviv University, Eran was a post-doc fellow at the Carnegie Mellon University, School of Computer Science. Eran’s Ph.D. is from the Technion – Israel Institute of Technology.