most citedImproving the Robustness of Deep Convolutional Neural Networks Through Feature Learning

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cs.CV2024

Edge Detectors Can Make Deep Convolutional Neural Networks More Robust

Jin Ding, Jie-Chao Zhao, Yong-Zhi Sun +4

Deep convolutional neural networks (DCNN for short) are vulnerable to examples with small perturbations. Improving DCNN's robustness is of great significance to the safety-critical…

cs.CV2023★ 2 cited

Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning

Jin Ding, Jie-Chao Zhao, Yong-Zhi Sun +3

Deep convolutional neural network (DCNN for short) models are vulnerable to examples with small perturbations. Adversarial training (AT for short) is a widely used approach to enha…