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English(EN) VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection

VulStyle模型利用风格计量和AST特征增强代码漏洞检测

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了VulStyle，一个用于检测软件漏洞的新型多模态模型。该模型独特地整合了源代码、抽象语法树（AST）结构和代码风格计量特征来识别风险编程实践。VulStyle在包含七种语言的大型代码语料库上进行了预训练，并在多个基准数据集上展示了最先进的性能，优于现有的基于Transformer的方法。 AI

影响 通过提高漏洞检测的准确性，增强了自动代码安全分析。

排序理由 这是一篇描述用于漏洞检测的新模型的学术论文。

在 arXiv cs.LG 阅读 →

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VulStyle模型利用风格计量和AST特征增强代码漏洞检测

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Chidera Biringa, Ajmal Abbas, Vishnu Selvaraj, Gokhan Kul ·

    VulStyle：用于代码风格计量增强漏洞检测的多模态预训练

    arXiv:2604.26313v1 Announce Type: cross Abstract: 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 cod…

  2. arXiv cs.LG TIER_1 English(EN) · Gokhan Kul ·

    VulStyle：一种用于代码风格计量增强漏洞检测的多模态预训练

    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 m…

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