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On using distributed representations of source code for the detection of
  C security vulnerabilities

On using distributed representations of source code for the detection of C security vulnerabilities

1 June 2021
D. Coimbra
Sofia Reis
Rui Abreu
Corina Puasuareanu
H. Erdogmus
ArXiv (abs)PDFHTML

Papers citing "On using distributed representations of source code for the detection of C security vulnerabilities"

5 / 5 papers shown
Title
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
An Empirical Study of Deep Learning Models for Vulnerability Detection
An Empirical Study of Deep Learning Models for Vulnerability Detection
Benjamin Steenhoek
Md. Mahbubur Rahman
Richard Jiles
Wei Le
ELMAAML
91
91
0
15 Dec 2022
VulBERTa: Simplified Source Code Pre-Training for Vulnerability
  Detection
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
Hazim Hanif
S. Maffeis
129
113
0
25 May 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models
  of Source Code
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Changan Niu
Chuanyi Li
Bin Luo
Vincent Ng
SyDaVLM
107
50
0
24 May 2022
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code
  Representation
SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation
Xin Wang
Yasheng Wang
Fei Mi
Pingyi Zhou
Yao Wan
Xiao Liu
Li Li
Hao Wu
Jin Liu
Xin Jiang
139
118
0
10 Aug 2021
1