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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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11/29/2017
Security Risks in Deep Learning Implementations
Advance in deep learning algorithms overshadows their security risk in s...
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04/04/2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Although deep neural networks (DNNs) have achieved great success in many...
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02/22/2017