ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection

14 October 2021

Van-Anh Nguyen

Van Nguyen

Trung Le

Papers citing "ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection"

9 / 9 papers shown

Title
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning Lijin Wu Shanshan Lei Feilong Liao Yuanjun Zheng Yuxin Liu Wentao Fu Hao Song Jiajun Zhou 35 1 0 24 Mar 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 57 5 0 15 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations Shaswata Mitra Trisha Chakraborty Subash Neupane Aritran Piplai Sudip Mittal AAML 42 3 0 11 Jan 2024
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 20 79 0 15 Dec 2022
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 35 27 0 15 Dec 2022
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning Van Nguyen Trung Le C. Tantithamthavorn Michael Fu John C. Grundy Hung Nguyen S. Çamtepe Paul Quirk Dinh Q. Phung 41 4 0 20 Sep 2022
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 198 853 0 09 Feb 2021
Universal Graph Transformer Self-Attention Networks D. Q. Nguyen T. Nguyen Dinh Q. Phung ViT 28 63 0 26 Sep 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014