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$μ$VulDeePecker: A Deep Learning-Based System for Multiclass
  Vulnerability Detection

μμμVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection

8 January 2020
Deqing Zou
Sujuan Wang
Shouhuai Xu
Zhen Li
Hai Jin
ArXiv (abs)PDFHTML

Papers citing "$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection"

23 / 23 papers shown
Title
Data Quality Issues in Vulnerability Detection Datasets
Data Quality Issues in Vulnerability Detection Datasets
Yuejun Guo
Seifeddine Bettaieb
AAML
71
4
0
08 Oct 2024
VulEval: Towards Repository-Level Evaluation of Software Vulnerability
  Detection
VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
Xinjie Wen
Xinchen Wang
Yujia Chen
Ruida Hu
David Lo
Cuiyun Gao
111
10
0
24 Apr 2024
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM
  IR
MPI Errors Detection using GNN Embedding and Vector Embedding over LLVM IR
Jad El Karchi
Hanze Chen
Ali TehraniJamsaz
Ali Jannesari
Mihail Popov
Emmanuelle Saillard
36
1
0
04 Mar 2024
CONCORD: Towards a DSL for Configurable Graph Code Representation
CONCORD: Towards a DSL for Configurable Graph Code Representation
M. Saad
Tushar Sharma
127
2
0
31 Jan 2024
How Far Have We Gone in Vulnerability Detection Using Large Language
  Models
How Far Have We Gone in Vulnerability Detection Using Large Language Models
Zeyu Gao
Hao Wang
Yuchen Zhou
Wenyu Zhu
Chao Zhang
98
22
0
21 Nov 2023
DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code
  Vulnerability Detection Mechanism
DefectHunter: A Novel LLM-Driven Boosted-Conformer-based Code Vulnerability Detection Mechanism
Jin Wang
Zishan Huang
Hengli Liu
Nianyi Yang
Yinhao Xiao
79
19
0
27 Sep 2023
Empirical Review of Smart Contract and DeFi Security: Vulnerability
  Detection and Automated Repair
Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair
Peng Qian
Rui Cao
Zhenguang Liu
Wenqing Li
Ming Li
Lun Zhang
Yufeng Xu
Jianhai Chen
Qinming He
116
8
0
05 Sep 2023
When Less is Enough: Positive and Unlabeled Learning Model for
  Vulnerability Detection
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability Detection
Xinjie Wen
Xinche Wang
Cuiyun Gao
Shaohua Wang
Yang Liu
Zhaoquan Gu
72
18
0
21 Aug 2023
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability
  Types
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
Xinjie Wen
Cuiyun Gao
Feng Luo
Hao Wang
Ge Li
Qing Liao
82
13
0
12 Jun 2023
An Unbiased Transformer Source Code Learning with Semantic Vulnerability
  Graph
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
Nafis Tanveer Islam
G. Parra
Dylan Manuel
E. Bou-Harb
Peyman Najafirad
85
10
0
17 Apr 2023
ML-FEED: Machine Learning Framework for Efficient Exploit Detection
ML-FEED: Machine Learning Framework for Efficient Exploit Detection
Tanujay Saha
Tamjid Al-Rahat
N. Aaraj
Yuan Tian
N. Jha
56
3
0
11 Jan 2023
AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart
  Contract Vulnerabilities and Their Fixes
AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes
M. Soud
I. Qasse
Grischa Liebel
Mohammad Hamdaqa
59
8
0
20 Dec 2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
Tianming Zheng
Ming Liu
Deepak Puthal
61
16
0
24 May 2022
Transformer-Based Language Models for Software Vulnerability Detection
Transformer-Based Language Models for Software Vulnerability Detection
Chandra Thapa
Seung Ick Jang
Muhammad Ejaz Ahmed
S. Çamtepe
J. Pieprzyk
Surya Nepal
97
103
0
07 Apr 2022
Quantifying Cybersecurity Effectiveness of Dynamic Network Diversity
Quantifying Cybersecurity Effectiveness of Dynamic Network Diversity
Huashan Chen
H. Çam
Shouhuai Xu
34
6
0
15 Dec 2021
Boosting the Capability of Intelligent Vulnerability Detection by
  Training in a Human-Learning Manner
Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner
Shihan Dou
Yueming Wu
Wenxuan Li
Feng Cheng
Wei Yang
Yang Liu
41
0
0
12 Dec 2021
Towards Making Deep Learning-based Vulnerability Detectors Robust
Towards Making Deep Learning-based Vulnerability Detectors Robust
Zhen Li
Jing Tang
Deqing Zou
Qian Chen
Shouhuai Xu
Chao Zhang
Yichen Li
Hai Jin
AAML
53
8
0
02 Aug 2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from
  Open-Source Software
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
G. Bhandari
Amara Naseer
Leon Moonen
86
176
0
19 Jul 2021
A Survey on Data-driven Software Vulnerability Assessment and
  Prioritization
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
T. H. Le
Huaming Chen
Muhammad Ali Babar
111
89
0
18 Jul 2021
Literature review on vulnerability detection using NLP technology
Literature review on vulnerability detection using NLP technology
Jiajie Wu
154
15
0
23 Apr 2021
A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities
A Hybrid Graph Neural Network Approach for Detecting PHP Vulnerabilities
Rishi Rabheru
Hazim Hanif
S. Maffeis
GNN
57
11
0
16 Dec 2020
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Zhuguo Li
Deqing Zou
Shouhuai Xu
Zhaoxuan Chen
Yawei Zhu
Hai Jin
108
191
0
08 Jan 2020
SySeVR: A Framework for Using Deep Learning to Detect Software
  Vulnerabilities
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities
Zerui Li
Deqing Zou
Shouhuai Xu
Hai Jin
Yawei Zhu
Zhaoxuan Chen
127
527
0
18 Jul 2018
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