Have a personal or library account? Click to login
DefenseFea: An Input Transformation Feature Searching Algorithm Based Latent Space for Adversarial Defense Cover

DefenseFea: An Input Transformation Feature Searching Algorithm Based Latent Space for Adversarial Defense

Foundations of Computing and Decision Sciences
Volume 49 (2024): Issue 1 (February 2024)
By: Zhang Pan,  Cao Yangjie,  Zhu Chenxi,  Zhuang Yan,  Wang Haobo and  Li Jie  
Open Access
|Feb 2024

Authors

Zhang Pan

School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

Cao Yangjie

caoyj@zzu.edu.cn

School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

Zhu Chenxi

School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

Zhuang Yan

School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

Wang Haobo

School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou, China

Li Jie

Department of Computer Science and Engineering, Shanghai Jiaotong University, China
DOI: https://doi.org/10.2478/fcds-2024-0002 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
Journal RSS Feed
Language: English
Page range: 21 - 36
Submitted on: Jan 13, 2023
Accepted on: May 16, 2023
Published on: Feb 16, 2024
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Adversarial Attack,
Adversarial Defense,
Latent space,
Adversarial Training
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2024 Zhang Pan, Cao Yangjie, Zhu Chenxi, Zhuang Yan, Wang Haobo, Li Jie, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 49 (2024): Issue 1 (February 2024)Next article