Seminar

Carolyn Lamb, PhD candidate
David R. Cheriton School of Computer Science

We describe three versions of TwitSong, a system that generates poetry based on the news. TwitSong is designed to make aesthetic decisions about potential lines of poetry and, in the third version, to edit its own work. We describe how the system was developed, how it performs in user studies, and why this type of computer-generated poetry still has a long way to go.

Daniel M. Berry
David R. Cheriton School of Computer Science

Dan Berry weaves the twin peaks of (1) his life in computing, programming, programming languages, software engineering, electronic publishing, and requirements engineering with (2) the almost concurrent development of programming languages, software engineering, and requirements engineering.

Daniel M. Berry
David R. Cheriton School of Computer Science

Dan Berry weaves the twin peaks of (1) his life in computing, programming, programming languages, software engineering, electronic publishing, and requirements engineering with (2) the almost concurrent development of programming languages, software engineering, and requirements engineering.

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. 

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. 

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.