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3D adversarial objects generation for wider-view face recognition attacks
DOI:10.1016/j.knosys.2026.116111.png)
Abstract
En 中文
• We propose a novel 3DAO for attacking face recognition in multiple views. • A Gaussian localization strategy is designed to initialize adversarial object. • Three types of losses are devised to optimize the quality 3D adversarial objects.
Keywords:
3DAO
face recognition
adversarial objects
Gaussian localization
multi-view attacks
Journal
K
IF:
7.6
Papers:
1.2W
Citations:
4.5W

