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3D adversarial objects generation for wider-view face recognition attacks

delete2026-05-05
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PRE
AI
L
Lingzhuang Meng
邵明文 cover
邵明文 (Mingwen Shao) *
Y
Yuanjian Qiao
X
Xiang Lv
Y
Yecong Wan
H
Hang Su
DOI:10.1016/j.knosys.2026.116111delete
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Abstract

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
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

S
shenzhen university of advanced technology
Scholars:
311
Papers: 220
Citations: 0
T
tsinghua university
Scholars:
11.7W
Papers: 9.9W
Citations: 137
C
china university of petroleum (east china)
Scholars:
4.5K
Papers: 1.2K
Citations: 0
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