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FusionVul: A multimodal feature fusion framework for source code vulnerability detection

delete2026-06-08
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PRE
AI
H
Hongyu Yang
Y
Yaping Zhu *
J
Jingchuan Luo
H
Hiroshi Nomaguchi
C
Chunhua Su
W
Willy Susilo
DOI:10.1016/j.jss.2026.112992delete
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Abstract

Abstract

En 中文
• Develop a hybrid framework combining sequential syntactic and structural semantics representations via UniXcoder and GGNN. • Design a Cross-Attention Feature Fusion Network (CAFFNet) for explicit cross-modal interaction and fine-grained feature alignment. • Propose a Sample-Aware Weighting (SaW) strategy for multi-semantic integration at the prediction stage.

Journal

Journal of Systems and Software cover
Journal of Systems and Software
IF:
4.1
Papers:
5.4K
Citations:
8.4K

Organization

U
university of wollongong
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1.7K
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U
University of Aizu
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767
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Citations: 302
C
civil aviation university of china
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760
Papers: 287
Citations: 0
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