LineVD: Statement-level Vulnerability Detection using Graph Neural Networks

10 March 2022

Papers citing "LineVD: Statement-level Vulnerability Detection using Graph Neural Networks"

10 / 10 papers shown

Title
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 36 0 0 24 Feb 2025
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data Weizhou Wang Eric Liu Xiangyu Guo Xiao Hu Ilya Grishchenko David Lie 25 1 0 28 Aug 2024
SCoPE: Evaluating LLMs for Software Vulnerability Detection José Gonccalves Tiago Dias Eva Maia Isabel Praça 26 5 0 19 Jul 2024
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection Shenao Yan Shen Wang Yue Duan Hanbin Hong Kiho Lee Doowon Kim Yuan Hong AAML SILM 30 16 0 10 Jun 2024
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities Ziyang Li Saikat Dutta Mayur Naik 40 40 0 27 May 2024
Path-wise Vulnerability Mitigation Zhen Huang Hristina Dokic 14 0 0 25 May 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 55 5 0 15 Mar 2024
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 10 76 0 15 Dec 2022
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 16 27 0 15 Dec 2022
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 54 152 0 13 Feb 2020