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

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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Bibliographic Details
Main Authors: Samer Y. Khamaiseh, Derek Bagagem, Abdullah Al-Alaj, Mathew Mancino, Hakam W. Alomari
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep neural networks
artificial intelligence
adversarial examples
adversarial perturbations
Online Access:https://ieeexplore.ieee.org/document/9895425/

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