DeKeDVer: A deep learning-based multi-type software vulnerability classification framework using vulnerability description and source code

SedSVD: Statement-level software vulnerability detection based on Relational Graph Convolutional Network with subgraph embedding

(2023) Yukun Dong et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Automatic software vulnerability classification by extracting vulnerability triggers

(2022) Xiaobing Sun et al.   Journal of Software-Evolution and Process

Long short‐term memory on abstract syntax tree for SQL injection detection

(2021) Z. Zhuo et al.   IET Software

SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities

(2021) Zhen Li et al.   IEEE Transactions on Dependable and Secure Computing

Deep Learning Based Vulnerability Detection: Are We There Yet?

(2021) Saikat Chakraborty et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Automated Vulnerability Detection in Source Code Using Minimum Intermediate Representation Learning

(2020) Xin Li et al.   Applied Sciences-Basel

Analyzing bug fix for automatic bug cause classification

(2020) Zhen Ni et al.   JOURNAL OF SYSTEMS AND SOFTWARE

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems