DE-JSMA: a sparse adversarial attack algorithm for SAR-ATR models

DE-JSMA: a sparse adversarial attack algorithm for SAR-ATR models

The vulnerability of DNN makes the SAR-ATR system that uses an intelligent algorithm for recognition also somewhat vulnerable. In order to verify the vulnerability, this paper proposes DE-JSMA, a novel sparse adversarial attack algorithm based on a salient map's adversarial attack algorithm and...

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Bibliographic Details
Main Authors: JIN Xiaying, LI Yang, PAN Quan
Format: Article
Language:zho
Published: EDP Sciences 2023-12-01
Series:Xibei Gongye Daxue Xuebao
Subjects:
synthetic aperture radar
automatic target recognition
deep learning
adversarial attack
sparse attack
Online Access:https://www.jnwpu.org/articles/jnwpu/full_html/2023/06/jnwpu2023416p1170/jnwpu2023416p1170.html

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https://www.jnwpu.org/articles/jnwpu/full_html/2023/06/jnwpu2023416p1170/jnwpu2023416p1170.html

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