A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection

In synthetic aperture radar (SAR) imaging, intelligent object detection methods are facing significant challenges in terms of model robustness and application security, which are posed by adversarial examples. The existing adversarial example generation methods for SAR object detection can be divide...

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Autori principali:	Jiale Duan, Linyao Qiu, Guangjun He, Ling Zhao, Zhenshi Zhang, Haifeng Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-03-01
Serie:	Remote Sensing
Soggetti:	synthetic aperture radar object detection deep neural network adversarial example local perturbation attack
Accesso online:	https://www.mdpi.com/2072-4292/16/6/997
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