AI RESEARCH
VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection
arXiv CS.LG
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ArXi:2604.26313v1 Announce Type: cross We present VulStyle, a multi-modal software vulnerability detection model that jointly encodes function-level source code, non-terminal Abstract Syntax Tree (AST) structure, and code stylometry (CStyle) features. Prior work in code representation primarily leverages token-level models or full AST trees, often missing stylistic cues indicative of risky programming practices, or incurring high structural overhead.