Improving Adversarial Robustness of Deep Neural Networks via Adaptive Margin Evolution
Adversarial training is the most popular and general strategy to improve Deep Neural Network (DNN) robustness against adversarial noises. Many adversarial training methods have been proposed in the past few years. However, most of these methods are highly susceptible to hyperparameters, especially t...
| Publié dans: | Neurocomputing. - 1998. - 551(2023) vom: 28. Sept. |
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| Auteur principal: | |
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| Format: | Article en ligne |
| Langue: | English |
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2023
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| Accès à la collection: | Neurocomputing |
| Sujets: | Journal Article Deep neural networks adversarial robustness adversarial training hyperparameter-free optimal adversarial training sample |
| Accès en ligne |
Volltext |