activity
20182023
most citedShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector

206 citations · 241 across the 8 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CV2023★ 13 cited

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

ShengYun Peng, Weilin Xu, Cory Cornelius +6

Our research aims to unify existing works' diverging opinions on how architectural components affect the adversarial robustness of CNNs. To accomplish our goal, we synthesize a sui…

cs.CV2023

RobArch: Designing Robust Architectures against Adversarial Attacks

ShengYun Peng, Weilin Xu, Cory Cornelius +4

Adversarial Training is the most effective approach for improving the robustness of Deep Neural Networks (DNNs). However, compared to the large body of research in optimizing the a…