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Monday, October 20, 2025 10:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Machine Learning • DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection

Please note: This PhD seminar will take place online.

Hossein Aboutalebi, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Justin Wan, Alex Wong

Wednesday, November 12, 2025 12:00 pm - 1:00 pm EST (GMT -05:00)

PhD Seminar • Natural Language Processing | Information Retrieval • Evaluation of Question Generation in Support of News Trustworthiness Assessment

Please note: This PhD seminar will take place in DC 3301.

Dake Zhang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Mark D. Smucker

Wednesday, October 8, 2025 3:00 pm - 4:00 pm EDT (GMT -04:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) | Platform Security • BLACKOUT: Data-Oblivious Computation with Blinded Capabilities

Please note: This PhD seminar will take place online.

Hossam ElAtali, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor N. Asokan

Wednesday, October 8, 2025 9:00 am - 10:00 am EDT (GMT -04:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) | Mobile Platform Security • Red Light for Security: Uncovering Auto Feature Check and Access Control Gaps in AAOS

Please note: This PhD seminar will take place online.

Parjanya Vyas, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors N, Asokan, Yousra Aafer

Thursday, October 9, 2025 2:30 pm - 3:30 pm EDT (GMT -04:00)

PhD Seminar • Natural Language Processing | Information Retrieval • The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models

Please note: This PhD seminar will take place online.

Ronak Pradeep, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Friday, October 3, 2025 3:00 pm - 4:00 pm EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence | Machine Learning • Wise Rule: Requirements-Based Rule Learning Using Expert-Defined Causality

Please note: This PhD seminar will take place in E7 5419 and online.

Frédéric Bouchard, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki