Designing for privacy by Eran Toch

How can developers protect the privacy of their users while still accomplishing business goals? In this talk, we will explore the fascinating interaction between privacy threats and data collection, focusing on solutions for designing privacy-respectful mobile applications.
About the speaker:
Eran Toch, Ph.D., had joined Tel Aviv University at 2010, as a member of the Faculty of Engineering, at the Department of Industrial Engineering. His research interests are at the intersection of Human-Computer Interaction, privacy and machine learning. Specifically, Eran studies AI methods to better understand user behavior and to help users better manage their online privacy. His research group is currently working on models of longitudinal privacy in social network, privacy in smartphones, privacy agents in cloud computing, and privacy-enhancing technologies for human mobility learning. Before joining Tel Aviv University, Eran was a post-doctoral fellow at the school of Computer Science at Carnegie Mellon University, where he headed the work on Locaccino, a novel location-sharing application that served as a research framework for investigating privacy in mobile social networks. Eran’s Ph.D. is from the Technion - Israel Institute of Technology. For that work, he was awarded the Israel Ministry of Science's Levi Eshkol excellence scholarship.