Seminar • Algorithms and Complexity • Sorting and Selection in Rounds with Adversarial Comparisons
Please note: This seminar will take place in DC 1304 and online.
Chris Trevisan, Undergraduate student
David R. Cheriton School of Computer Science
Chris Trevisan, Undergraduate student
David R. Cheriton School of Computer Science
Fadhil Abubaker, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Khuzaima Daudjee
Prabhjot Singh, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Diogo Barradas
Although encrypted channels, like those provided by anonymity networks such as Tor, have been put into effect, network adversaries have proven their capability to undermine users’ browsing privacy through website fingerprinting attacks.
Shaokai Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Bin Ma
Ibrahim Numanagić
Canada Research Chair in Data Science and Computational Biology
Assistant Professor, Department of Computer Science
University of Victoria
Robert Wang, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Lap Chi Lau
Sheng-Chieh (Jack) Lin, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Contrastive learning is a commonly used technique to train an effective neural retrieval model; however, it requires much computation resources (i.e., multiple GPUs or TPUs).
Nils Lukas, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Florian Kerschbaum
Seba Khaleel, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Samer Al-Kiswany
Ryan Hancock, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ali José Mashtizadeh