基于广义全变分低秩矩阵恢复的对抗样本防御

李文; 王恒友; 霍连志; 何强; 陈琳琳; 何志权; 吴永贤

doi:10.1631/FITEE.2300017

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基于广义全变分低秩矩阵恢复的对抗样本防御

常规文章 | Updated：2024-03-26

- 基于广义全变分低秩矩阵恢复的对抗样本防御
- Low-rank matrix recovery with total generalized variation for defending adversarial examples
- 信息与电子工程前沿（英文） 2024年25卷第3期页码：432-445
- Affiliations：
  
  1.School of Science, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
  2.School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
  3.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  4.Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen 518060, China
  5.Institute of Big Data Modeling and Technology, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
- Author bio：
  
  ‡Corresponding author
- Funds：
  
  National Natural Science Foundation of China(62072024);Outstanding Youth Program of Beijing University of Civil Engineering and Architecture, China(JDJQ20220805);Shenzhen Stability Support General Project (Type A), China(20200826104014001)
- DOI：10.1631/FITEE.2300017
  中图分类号： TP37
- 收稿：2023-01-09，
  
  录用：2023-06-26，
  
  纸质出版：2024-03-0
- Accepted：
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李文, 王恒友, 霍连志, 等. 基于广义全变分低秩矩阵恢复的对抗样本防御[J]. 信息与电子工程前沿（英文）, 2024,25(3):432-445.

Wen LI, Hengyou WANG, Lianzhi HUO, et al. Low-rank matrix recovery with total generalized variation for defending adversarial examples[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(3): 432-445.
李文, 王恒友, 霍连志, 等. 基于广义全变分低秩矩阵恢复的对抗样本防御[J]. 信息与电子工程前沿（英文）, 2024,25(3):432-445. DOI： 10.1631/FITEE.2300017.

Wen LI, Hengyou WANG, Lianzhi HUO, et al. Low-rank matrix recovery with total generalized variation for defending adversarial examples[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(3): 432-445. DOI： 10.1631/FITEE.2300017.

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基于广义全变分低秩矩阵恢复的对抗样本防御

Low-rank matrix recovery with total generalized variation for defending adversarial examples

DOI：10.1631/FITEE.2300017