Events

Filter by:

Limit to events where the first date of the event:
Date range
Limit to events where the first date of the event:
Limit to events where the title matches:
Limit to events where the type is one or more of:
Limit to events tagged with one or more of:
Limit to events where the audience is one or more of:

Please note: This master’s thesis presentation will take place in DC 3317.

Sara Qunaibi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

We present a comprehensive empirical study of the impact partial network partitions have on cluster managers in data analysis frameworks. Our study shows that modern scheduling approaches are vulnerable to partial network partitions. Partial partitions can lead to a complete cluster pause or a significant loss of performance.

Please note: This master’s thesis presentation will take place online.

Joshua Hildred, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Distributed deterministic database systems support OLTP workloads over geo-replicated data. Providing these transactions with ACID guarantees requires a delay of multiple wide-area network (WAN) round trips of messaging to totally order transactions globally.

Please note: This talk will take place in DC 3317 and online over Zoom.

Joel Reardon, Associate Professor
Department of Computer Science, University of Calgary

Mozilla curates a set of root certificate authorities to validate hostnames for TLS in the Firefox browser. Many other software projects, such as Tor Browser and ca-certificates simply follow Mozilla’s list; other entities, such as Apple and Microsoft, make their own decisions for inclusion with considerations for Mozilla’s decisions and the associated public discussion.

Please note: This PhD seminar will take place in DC 1304 and virtually.

Yiwei Lu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Yaoliang Yu

Indiscriminate data poisoning attacks aim to decrease a model’s test accuracy by injecting a small amount of corrupted training data. Despite significant interest, existing attacks remain relatively ineffective against modern machine learning (ML) architectures.

Please note: This master’s thesis presentation will take place online.

Ende Jin, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Yizhou Zhang, Ondřej Lhoták

With the growing practice of mechanizing language metatheories, it has become ever more pressing that interactive theorem provers make it easy to write reusable, extensible code and proofs.

Please note: This master’s thesis presentation will take place in DC 1304 and virtually.

Zhili Zeng, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shane McIntosh

Continuous Integration (CI) is a popular software development practice that allows developers to quickly verify modifications to their projects. To cope with the ever-increasing demand for faster software releases, CI acceleration approaches have been proposed to expedite the feedback that CI provides.

Please note: This master’s thesis presentation will take place online.

Owura Asare, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Mei Nagappan, N. Asokan

In this thesis, we perform two security evaluations of GitHub’s Copilot with the aim of better understanding the strengths and weaknesses with of Code Generation Tools.