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Wednesday, June 22, 2022 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Data Systems | NLP • Backward-compatibility for Neural NLP Models

Please note: This PhD seminar will be given online.

Yuqing Xie, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Ming Li, Jimmy Lin

I would like to share the work I did during the internship with AWS AI about Backward-Compatibility NLP models. Behavior of deep neural networks can be inconsistent between different versions. Regressions during model update are a common cause of concern that often over-weigh the benefits in accuracy or efficiency gain. 

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

Friday, June 24, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Machine Learning • Out-of-distribution Detection with Flow Generative Models

Please note: This PhD seminar will be given online.

Dihong Jiang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Yaoliang Yu

Out-of-distribution (OOD) data come from a distribution that is different from training data. Detecting OOD data contributes to secure deployment of machine learning models. Currently, deep generative models have been widely used as an unsupervised approach for OOD detection.

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