Thesis defence

Subscribe to Thesis defence
Friday, July 8, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Research Paper Presentation • Algorithms and Complexity • Quantum Game Theory and the Complexity of Approximating Quantum Nash Equilibria

Please note: This master’s research paper presentation will be given online.

John Bostanci, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Richard Cleve

Thursday, July 7, 2022 1:30 pm - 2:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security and Privacy (CrySP) • Security and Ownership Verification in Deep Reinforcement

Please note: This master’s thesis presentation will be given online.

Ching-wen Wang, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor N. Asokan

Deep reinforcement learning (DRL) has seen many successes in complex tasks such as robot manipulation, autonomous driving, and competitive games. However, there are few studies on the security threats against DRL systems. In this thesis, we focus on two security concerns in DRL.

Tuesday, July 5, 2022 11:00 am - 12:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security and Privacy (CrySP) • Towards Effective Measurement of Membership Privacy Risk for Machine Learning Models

Please note: This master’s thesis presentation will be given online.

Vasisht Duddu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor N. Asokan

Thursday, July 28, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Human-Computer Interaction • Evaluating Singing for Computer Input Using Pitch, Interval, and Melody

Please note: This master’s thesis presentation will be given in person in DC 3317 and online.

Graeme Zinck, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

Thursday, June 23, 2022 12:00 pm - 1:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy

Please note: This master’s thesis presentation will be given online.

Christian Covington, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Xi He, Gautam Kamath