Adversarial Attack for SAR Target Recognition Based on UNet-Generative Adversarial Network

Adversarial Attack for SAR Target Recognition Based on UNet-Generative Adversarial Network

Some recent articles have revealed that synthetic aperture radar automatic target recognition (SAR-ATR) models based on deep learning are vulnerable to the attacks of adversarial examples and cause security problems. The adversarial attack can make a deep convolutional neural network (CNN)-based SAR...

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Bibliographic Details
Main Authors: Chuan Du, Lei Zhang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
adversarial attack
adversarial example generation
UNet
generative adversarial network (GAN)
synthetic aperture radar (SAR)
automatic target recognition (ATR)
Online Access:https://www.mdpi.com/2072-4292/13/21/4358

Internet

https://www.mdpi.com/2072-4292/13/21/4358

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