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    • Adversarial example generation, defense, and application

    • Deep neural networks are widely used in various fields, but adversarial samples threaten their reliability and security. Experts have divided adversarial attack techniques into white box and black box attacks, and provided a detailed introduction to adversarial defense strategies to provide solutions for improving the security of deep neural networks.
    • Vol. 31, Issue 1, Pages: 62-81(2026)   

      Received:16 December 2024

      Revised:2025-05-20

      Accepted:10 June 2025

      Published:16 January 2026

    • DOI: 10.11834/jig.240732     

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  • Zhang Jiawei, Wu Hao, Yuan Lin, Wang Hao, Cheng Xin, Luo Xiangyang, Ma Bin, Wang Jinwei. 2026. Adversarial example generation, defense, and application. Journal of Image and Graphics, 31(1):0062-0081 DOI: 10.11834/jig.240732.
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相关作者

Wang Jinwei 南开大学 网络空间安全学院
Ma Bin 齐鲁工业大学 网络空间安全学院
Luo Xiangyang 数学工程与先进计算国家重点实验室
Cheng Xin 南京信息工程大学 计算机学院、网络空间安全学院
Wang Hao 淮阴工学院 计算机与软件工程学院
Yuan Lin 重庆邮电大学 网络空间安全与信息法学院
Wu Hao 数学工程与先进计算国家重点实验室
Zhang Jiawei 重庆邮电大学 网络空间安全与信息法学院

相关机构

Department of Cyber Security and Information Law, Chongqing University of Posts and Telecommunications
Department of Cyber Security, Nankai University
Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau
School of Computer Science and Technology, Xidian University
School of Computer Science and Engineering, Xi’an University of Technology
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