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

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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Bibliographic Details
Main Authors: Jiale Duan, Linyao Qiu, Guangjun He, Ling Zhao, Zhenshi Zhang, Haifeng Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
synthetic aperture radar
object detection
deep neural network
adversarial example
local perturbation attack
Online Access:https://www.mdpi.com/2072-4292/16/6/997

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https://www.mdpi.com/2072-4292/16/6/997

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