PhD Seminar • Cryptography, Security, and Privacy (CrySP) — Real-time Prevention of Smartphone Loss Via Active Acoustic Sensing
Jiayi Chen, PhD candidate
David R. Cheriton School of Computer Science
Jiayi Chen, PhD candidate
David R. Cheriton School of Computer Science
Jan Gorzny, PhD candidate
David R. Cheriton School of Computer Science
Guojun Zhang, PhD candidate
David R. Cheriton School of Computer Science
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.
Fathiyeh Faghih, School of Electrical and Computer Engineering
University of Tehran
Dmitrii Marin, PhD candidate
David R. Cheriton School of Computer Science
Sharon Choy, PhD candidate
David R. Cheriton School of Computer Science
Siddhartha Sahu, PhD candidate
David R. Cheriton School of Computer Science
Bryce Sandlund, PhD candidate
David R. Cheriton School of Computer Science
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.