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Paulo Pacheco, PhD candidate
David R. Cheriton School of Computer Science

In this seminar I will discuss some of the current state-of-the-art methods for generating attention maps in weakly supervised (image level annotations) for classification tasks, aiming image segmentation inference and object localization.

Navid Nasr Esfahani, PhD candidate
David R. Cheriton School of Computer Science

Linear All-or-nothing Transforms are unconditionally secure cryptographic tools with various applications, for example, in secure distributed storage and secure network coding.