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    • Review of physical adversarial attacks against visual deep learning models

    • Deep learning computer vision technology has made progress, but adversarial attacks have raised concerns about robustness. Experts have summarized 114 papers analyzing the challenges of physical adversarial attacks, providing inspiration for model research.
    • Vol. 30, Issue 6, Pages: 2082-2119(2025)   

      Received:31 July 2024

      Revised:2024-10-04

      Published:16 June 2025

    • DOI: 10.11834/jig.240442     

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  • Peng Zhenbang, Zhang Yu, Dang Yi, Chen Jianqi, Shi Zhenwei, Zou Zhengxia. 2025. Review of physical adversarial attacks against visual deep learning models. Journal of Image and Graphics, 30(6):2082-2119 DOI: 10.11834/jig.240442.
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相关作者

Peng Zhenbang 北京航空航天大学
Zhang Yu 北京航空航天大学
Dang Yi 北京航空航天大学
Chen Jianqi 北京航空航天大学
Shi Zhenwei 北京航空航天大学
Zou Zhengxia 北京航空航天大学
Wang Weijia 福州大学计算机与大数据学院
Chen Fei 福州大学计算机与大数据学院

相关机构

Beihang University
College of Computer and Data Science, Fuzhou University
College of Intelligence and Computing, Tianjin University
School of Mathematics and Statistics, Fuzhou University
College of Electronics and Information Engineering, Sichuan University
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