Events

Michael Cormier, PhD candidate
David R. Cheriton School of Computer Science

Matei Ripeanu, Department of Electrical and Computer Engineering
University of British Columbia

Three-day programing workshop

Abdullah Rashwan, PhD candidate
David R. Cheriton School of Computer Science

Sum-product networks have recently emerged as an attractive representation due to their dual view as a special type of deep neural network with clear semantics and a special type of probabilistic graphical model for which inference is always tractable. Those properties follow from some conditions (i.e., completeness and decomposability) that must be respected by the structure of the network. 

Cecylia Bocovich, PhD candidate
David R. Cheriton School of Computer Science

Circumventing state firewalls! Détournement! Doctor Who references! Now with higher bandwidth!

Michael Cormier, PhD candidate
David R. Cheriton School of Computer Science

Sverrir Thorgeirsson, PhD candidate
David R. Cheriton School of Computer Science

Chelsea Komlo, HashiCorp

​Privacy Enhancing Technology communities rely on the research community for help designing and validating protocols, finding potential attack vectors, and applying new technological innovations to existing protocols. However, while the research community has made significant progress studying projects such as Tor, the number of research outcomes that have actually been incorporated into privacy enhancing technologies such as The Tor Project is lower than the number of feasible and useful research outcomes. 

Matthew Finkel, The Tor Project

There are hundreds of millions of new "smart" mobile device users every year, but the mobile ecosystem and infrastructure are designed and built for optimizing convenience, not protecting the privacy of the user. From a design flaw in the Internet Protocol to an abundence of physical sensors, a mobile device may tell a third-party more information than the user intended or wanted.