VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements

20 December 2021

Papers citing "VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements"

8 / 8 papers shown

Title
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 46 0 0 24 Feb 2025
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks B.K. Casey Joanna C. S. Santos George Perry 63 5 0 15 Mar 2024
Using ChatGPT as a Static Application Security Testing Tool Atieh Bakhshandeh Abdalsamad Keramatfar Amir Norouzi Mohammad Mahdi Chekidehkhoun 27 13 0 28 Aug 2023
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 26 79 0 15 Dec 2022
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection Benjamin Steenhoek Hongyang Gao Wei Le 43 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
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks David Hin Andrey Kan Huaming Chen M. Babar 31 158 0 10 Mar 2022
Patching as Translation: the Data and the Metaphor Yangruibo Ding Baishakhi Ray Prem Devanbu Vincent Hellendoorn 133 64 0 24 Aug 2020