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Thursday, March 18, 2021 12:00 pm - 12:00 pm EDT (GMT -04:00)

Seminar • Cryptography, Security, and Privacy (CrySP) — Measuring and Enhancing the Security of Machine Learning

Please note: This seminar will be given online.

Florian Tramèr, Computer Science Department
Stanford University

Failures of machine learning systems can threaten both the security and privacy of their users. My research studies these failures from an adversarial perspective, by building new attacks that highlight critical vulnerabilities in the machine learning pipeline, and designing new defenses that protect users against identified threats.

Monday, March 22, 2021 12:00 pm - 12:00 pm EDT (GMT -04:00)

Seminar • Machine Learning — The Surprising Power of Little Data

Please note: This seminar will be given online.

Weihao Kong, Postdoctoral researcher
Department of Computer Science, University of Washington

In this talk, I will discuss several examples of my research that reveal a surprising ability to extract accurate information from modest amounts of data.

Tuesday, March 23, 2021 9:00 am - 9:00 am EDT (GMT -04:00)

PhD Defence • Computer Graphics | Scientific Computing — Efficient Liquid Animation: New Discretizations for Spatially Adaptive Liquid Viscosity and Reduced-Model Two-Phase Bubbles and Inviscid Liquids

Please note: This PhD defence will be given online.

Ryan Goldade, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Christopher Batty

Thursday, March 25, 2021 12:00 pm - 12:00 pm EDT (GMT -04:00)

Seminar • Systems and Networking — Resource-Efficient Execution for Deep Learning

Please note: This seminar will be given online.

Deepak Narayanan, Department of Computer Science
Stanford University

Deep Learning models have enabled state-of-the-art results across a broad range of applications; however, training these models is extremely time- and resource-intensive, taking weeks on clusters with thousands of expensive accelerators in the extreme case.

Wednesday, March 31, 2021 12:00 pm - 12:00 pm EDT (GMT -04:00)

PhD Seminar • Data Systems — Evaluating Complex Queries on Streaming Graphs

Please note: This PhD seminar will be given online.

Anil Pacaci, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Tamer Özsu

Modern applications in many domains now operate on high-speed streaming graphs that continuously evolve at high rates. Efficient querying of these streaming graphs is a crucial task for applications that monitor complex patterns and relationships.