arrow
Return

Dynamic gradient fusion method with local spatial and multi-scale frequency transformations for transferable adversarial attacks

delete2026-02-16
delete0
PRE
AI
J
Jun Hu
H
Huanghui Ran
C
Chen Sun
Q
Qinghua Zhang
G
Guoyin Wang
DOI:10.1016/j.eswa.2026.131677delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Applies saliency-aware local spatial transformations to enhance input diversity. • Introduces multi-scale frequency-domain transformation to expand spectrum saliency coverage. • Designs an adaptive gradient fusion strategy based on loss differences to boost transferability.
Keywords:
saliency-aware local spatial transformations
multi-scale frequency-domain transformation
adaptive gradient fusion strategy
transferable adversarial attacks

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

C
Chongqing University of Posts and Telecommunications
Scholars:
2.4K
Papers: 946
Citations: 3.8K