Disruptive technologies are expected to increasingly rely on sophisticated machine learning and statistical inference techniques to obtain a much clearer semantic understanding of people’ states, activities, environments, contexts and goals. However, these developments also raise new technical, social, ethical and legal privacy challenges which, if left unaddressed, will jeopardize the wider deployment and thus undermine potential social and economic benefits of the aforementioned emerging technologies. 

This seminar will discuss privacy and security implications of “things” being connected to each other through Internet-like networks. More specifically, we will discuss new privacy threats, attack techniques and countermeasures in emerging scenarios of ubiquitous data processing.