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
Hauptverfasser: Choi, Seok-Hwan, Shin, Jin-Myeong, Liu, Peng, Choi, Yoon-Ho
Format: Artikel
Sprache:eng
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