From Pixel to Peril: Investigating Adversarial Attacks on Aerial Imagery Through Comprehensive Review and Prospective Trajectories

From Pixel to Peril: Investigating Adversarial Attacks on Aerial Imagery Through Comprehensive Review and Prospective Trajectories

Deep models’ feature learning capabilities have gained traction in recent years, driving significant progress in various Artificial Intelligence (AI) domains. The use of Deep Neural Networks (DNNs) has expanded the scope of Computer Vision (CV) and revealed their vulnerability to delibera...

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Bibliographic Details
Main Authors:	Syed M. Kazam Abbas Kazmi, Nayyer Aafaq, Mansoor Ahmed Khan, Mohsin Khalil, Ammar Saleem
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Aerial imagery adversarial attacks adversarial perturbations autonomous systems remote sensing AI-applications
Online Access:	https://ieeexplore.ieee.org/document/10196424/

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