ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples
An adversarial example, which is an input instance with small, intentional feature perturbations to machine learning models, represents a concrete problem in Artificial intelligence safety. As an emerging defense method to defend against adversarial examples, generative adversarial networks-based de...
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Veröffentlicht in: | IEEE access 2022, Vol.10, p.33602-33615 |
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Format: | Artikel |
Sprache: | eng |
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