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08/30/2023
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
Our research aims to unify existing works' diverging opinions on how arc...
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01/08/2023
RobArch: Designing Robust Architectures against Adversarial Attacks
Adversarial Training is the most effective approach for improving the ro...
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07/21/2022
Synthetic Dataset Generation for Adversarial Machine Learning Research
Existing adversarial example research focuses on digitally inserted pert...
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10/13/2020
Toward Few-step Adversarial Training from a Frequency Perspective
We investigate adversarial-sample generation methods from a frequency do...
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02/01/2019
The Efficacy of SHIELD under Different Threat Models
We study the efficacy of SHIELD in the face of alternative threat models...
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04/16/2018
