Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification

The popularity of adapting deep neural networks (DNNs) in solving hard problems has increased substantially. Specifically, in the field of computer vision, DNNs are becoming a core element in developing many image and video classification and recognition applications. However, DNNs are vulnerable to...

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Vydané v:	IEEE access Ročník 10; s. 1
Hlavní autori:	Khamaiseh, Samer Y., Bagagem, Derek, Al-Alaj, Abdullah, Mancino, Mathew, Alomari, Hakam W.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	adversarial examples adversarial perturbations artificial intelligence Artificial neural networks Classification Computational modeling Computer vision Deep learning Deep neural networks Defense mechanisms Image classification Machine learning Machine learning algorithms Neural networks Object recognition Perturbation Perturbation methods Security Training data
ISSN:	2169-3536, 2169-3536
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