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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:04 October 2024

      Published:16 June 2025

    • DOI: 10.11834/jig.240442     

    移动端阅览

  • 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
Lei Yinjie 四川大学电子信息学院
Xu Kai 国防科技大学计算机学院

相关机构

Beihang University
College of Electronics and Information Engineering, Sichuan University
School of Computer Science, National University of Defense Technology
College of Electronic Science and Technology, National University of Defense Technology
School of Computer Science and Technology, Dalian University of Technology
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