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Tuesday, June 6, 2023 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Machine Learning • Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks

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.

Wednesday, June 7, 2023 1:30 pm - 2:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Programming Languages • Design and Implementation of Family Polymorphism for Interactive Theorem Proving

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.

Tuesday, June 13, 2023 10:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering • Trade-off Exploration for Acceleration of Continuous Integration

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.

Thursday, June 15, 2023 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) | Software Engineering • Security Evaluations of GitHub’s Copilot

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.