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Mark Giesbrecht, Director, David R. Cheriton School of Computer Science • DC 1302

Welcome and Opening Remarks

Refreshments will be served

Dan Brown, David R. Cheriton School of Computer Science • DC 1302

Can Computers Write Good Poetry? What Does That Even Mean?

Computers can be programmed to do a variety of tasks, which, if a human had done them, we might identify as creative tasks. But does that mean that they themselves are creative? We examine the state of the art in computer-generated poetry, and examine a variety of ways in which potentially sensible ways of assessing whether a system is creative don't actually work well in practice. Finally, we discuss a few attempts to incorporate advanced aspects of human poetry writing, including editing one’s own work to improve it, into a computational creativity system. 

This work is a joint effort with my PhD student Carolyn Lamb and my colleague Professor Charlie Clarke.

Dan Brown is Professor in the David R. Cheriton School of Computer Science at the University of ��ݮ��Ƶ, where he has been a faculty member since 2000. Dan earned his S.B. degree in Mathematics with Computer Science from the Massachusetts Institute of Technology in 1995, and his Ph.D. in Computer Science from Cornell University in 2000. His initial research focus was in analysis of genome sequence data, and he was a researcher on the Human and Mouse Genome Projects at the Whitehead Institute / MIT Center for Genome Research (now the Broad Institute) from 2000 to 2001.  

In recent years, he has studied other kinds of sequential data, such as music scores, lyrics, and poetry, in addition to still finding joy in evolutionary tree reconstruction and DNA sequence analysis.

Urs Hengartner, David R. Cheriton School of Computer Science • DC 1302

Breaking Three Defences against Shoulder-Surfing Attacks

Many people use knowledge-based authentication, such as PINs or passwords, on their smartphone. However, these authentication schemes are vulnerable against shoulder-surfing attacks. Tilting the smartphone away from observers is an often used defence against such attacks. Researchers have also proposed alternative defences, such as incorporating an “invisible pressure component” into PIN entry or analyzing keystroke input behaviour during password entry. We have evaluated these defences in user studies. Our conclusion is that the defences provide limited protection. We have also built an open-source augmented reality tool for real-time mimicry guidance on smartphones.

This is joint work with Hassan Khan and Daniel Vogel.

Lunch in Fishbowl, DC 1301

Poster Session • David R. Cheriton ​Graduate Scholarship Recipients

DC Atrium

Awards Ceremony

Fishbowl, DC 1301

Gelato will be served — everyone is welcome!