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A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities

A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities

16 December 2020
Rishi Rabheru
Hazim Hanif
S. Maffeis
    GNN
ArXiv (abs)PDFHTML

Papers citing "A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities"

4 / 4 papers shown
Title
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Yu Luo
Weifeng Xu
Dianxiang Xu
118
0
0
24 Feb 2025
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
B.K. Casey
Joanna C. S. Santos
George Perry
93
5
0
15 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
108
5
0
11 Jan 2024
Statically Detecting Vulnerabilities by Processing Programming Languages
  as Natural Languages
Statically Detecting Vulnerabilities by Processing Programming Languages as Natural Languages
Ibéria Medeiros
N. Neves
M. Correia
20
8
0
12 Oct 2019
1