Adversarial Sample Generation Method Based on Global Convolution Noise Reduction Model

被引：0
|
作者：
机构：
[1] School of Information Engineering,
[2] Jiangxi University of Technology,undefined
来源：
Automatic Control and Computer Sciences | 2023年 / 57卷
关键词：
deep learning; residual network; adversarial example; robustness;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：389 / 399
页数：10
相关论文
共 50 条
  • [41] A Fastener Inspection Method Based on Defective Sample Generation and Deep Convolutional Neural Network
    Liu, Jianwei
    Teng, Yun
    Ni, Xuefeng
    Liu, Hongli
    IEEE SENSORS JOURNAL, 2021, 21 (10) : 12179 - 12188
  • [42] Global Ionospheric VTEC Data Completion Method Based on Aggregated Contextual-Transformation Generative Adversarial Nets
    Wang, Rong
    Yao, Yibin
    Chen, Peng
    Fu, Leran
    Gao, Xin
    Zhang, Liang
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [43] A novel underwater color correction method based on underwater imaging model and generative adversarial network
    Cai, Kewei
    Yang, Zhipeng
    Pang, Hongshuai
    Miao, Xinying
    He, Jiaqi
    Liu, Ying
    Zhang, Tao
    Wang, Wei
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 200
  • [44] Transient Stability Assessment Model With Sample Selection Method Based on Spatial Distribution
    Li, Yongbin
    Wang, Yiting
    Li, Jian
    Zhao, Huanbei
    Wang, Huaiyuan
    Hu, Litao
    COMPLEXITY, 2024, 2024
  • [45] Key Generation Method Based on Generative Adversarial Network and Its Application in Low-light-level Image Encryption
    Li J.
    Liu Z.
    Man Z.
    Binggong Xuebao/Acta Armamentarii, 2022, 43 (02): : 337 - 344
  • [46] Slope deformation prediction based on noise reduction and deep learning: a point prediction and probability analysis method
    Shao, Man
    Liu, Fuming
    FRONTIERS IN EARTH SCIENCE, 2024, 12
  • [47] A learning-based projection method for model order reduction of transport problems?
    Peng, Zhichao
    Wang, Min
    Li, Fengyan
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2023, 418
  • [48] ASIGM: An Innovative Adversarial Stego Image Generation Method for Fooling Convolutional Neural Network-Based Image Steganalysis Models
    Kim, Minji
    Cho, Youngho
    Park, Hweerang
    Qu, Gang
    ELECTRONICS, 2025, 14 (04):
  • [49] Uncertainty Prediction of Offshore Wind Power based on Outlier Processing, Data Noise Reduction and the Deep Learning Method
    Yu, Zhen
    Yang, Yinguo
    Lu, Qiuyu
    Wu, Shuangxi
    Zhu, Yu
    RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2025, 18 (03) : 359 - 369
  • [50] A Dual-Path Generative Adversarial Network-based inverse design method for broadband RCS reduction metasurface element patterns
    Liu, Yunfei
    Bai, Alamusi
    Qiu, Yukun
    Zhang, Yilei
    Lu, Zhengang
    Wang, Heyan
    Tan, Jiubin
    OPTICS AND LASERS IN ENGINEERING, 2024, 182
12345