3 papers
cs.LG2020
Architectural Adversarial Robustness: The Case for Deep Pursuit
George Cazenavette, Calvin Murdock, Simon Lucey
Despite their unmatched performance, deep neural networks remain susceptible to targeted attacks by nearly imperceptible levels of adversarial noise. While the underlying cause of…
cs.LG2020
Dataless Model Selection with the Deep Frame Potential
Calvin Murdock, Simon Lucey
Choosing a deep neural network architecture is a fundamental problem in applications that require balancing performance and parameter efficiency. Standard approaches rely on ad-hoc…
cs.LG2018
Deep Component Analysis via Alternating Direction Neural Networks
Calvin Murdock, Ming-Fang Chang, Simon Lucey
Despite a lack of theoretical understanding, deep neural networks have achieved unparalleled performance in a wide range of applications. On the other hand, shallow representation…