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1807.06756
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SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities
18 July 2018
Zerui Li
Deqing Zou
Shouhuai Xu
Hai Jin
Yawei Zhu
Zhaoxuan Chen
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Papers citing
"SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities"
31 / 31 papers shown
Title
A Framework for Evaluating Emerging Cyberattack Capabilities of AI
Mikel Rodriguez
Raluca Ada Popa
Four Flynn
Lihao Liang
Allan Dafoe
Anna Wang
ELM
74
5
0
14 Mar 2025
Detecting Code Vulnerabilities with Heterogeneous GNN Training
Yu Luo
Weifeng Xu
Dianxiang Xu
46
0
0
24 Feb 2025
CS-Eval: A Comprehensive Large Language Model Benchmark for CyberSecurity
Zhengmin Yu
Jiutian Zeng
Siyi Chen
Wenhan Xu
Dandan Xu
Xiangyu Liu
Zonghao Ying
Nan Wang
Yuan Zhang
Min Yang
ELM
125
2
0
20 Jan 2025
Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
Zixuan Tan
Jiayuan Zhou
Xing Hu
Shengyi Pan
Kui Liu
Xin Xia
49
0
0
31 Dec 2024
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
Shenao Yan
Shen Wang
Yue Duan
Hanbin Hong
Kiho Lee
Doowon Kim
Yuan Hong
AAML
SILM
48
17
0
10 Jun 2024
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
Xiaohu Du
Ming Wen
Jiahao Zhu
Zifan Xie
Bin Ji
Huijun Liu
Xuanhua Shi
Hai Jin
37
14
0
06 Jun 2024
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
Ziyang Li
Saikat Dutta
Mayur Naik
59
45
0
27 May 2024
Vulnerability Detection in C/C++ Code with Deep Learning
Zhen Huang
Amy Aumpansub
38
0
0
20 May 2024
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks
B.K. Casey
Joanna C. S. Santos
George Perry
68
5
0
15 Mar 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
47
21
0
30 Dec 2023
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
M. Ferrag
A. Battah
Norbert Tihanyi
Ridhi Jain
Diana Maimut
...
Thierry Lestable
Narinderjit Singh Thandi
Abdechakour Mechri
Merouane Debbah
Lucas C. Cordeiro
49
9
0
13 Jul 2023
Vulnerability Detection Using Two-Stage Deep Learning Models
Mohamed Mjd Alhafi
Mohammad Hammade
Khloud Al Jallad
40
1
0
08 May 2023
VMCDL: Vulnerability Mining Based on Cascaded Deep Learning Under Source Control Flow
Wen Zhou
13
0
0
13 Mar 2023
Detecting software vulnerabilities using Language Models
Marwan Omar
37
11
0
23 Feb 2023
VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for vulnerability Detection
Botong Zhu
Huobin Tan
42
0
0
05 Feb 2023
An Empirical Study of Deep Learning Models for Vulnerability Detection
Benjamin Steenhoek
Md. Mahbubur Rahman
Richard Jiles
Wei Le
ELM
AAML
40
79
0
15 Dec 2022
A Hierarchical Deep Neural Network for Detecting Lines of Codes with Vulnerabilities
A. Mahyari
22
4
0
15 Nov 2022
Poison Attack and Defense on Deep Source Code Processing Models
Jia Li
Zhuo Li
Huangzhao Zhang
Ge Li
Zhi Jin
Xing Hu
Xin Xia
AAML
48
16
0
31 Oct 2022
Pre-Training Representations of Binary Code Using Contrastive Learning
Yifan Zhang
Chen Huang
Yueke Zhang
Kevin Cao
Scott Thomas Andersen
Huajie Shao
Kevin Leach
Yu Huang
60
3
0
11 Oct 2022
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Van Nguyen
Trung Le
Chakkrit Tantithamthavorn
Michael Fu
John C. Grundy
Hung Nguyen
S. Çamtepe
Paul Quirk
Dinh Q. Phung
46
4
0
20 Sep 2022
Evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices
Pascal Oser
Felix Engelmann
S. Lüders
F. Kargl
20
1
0
08 Sep 2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
Tianming Zheng
Ming Liu
Deepak Puthal
P. Yi
Yue Wu
Xiangjian He
18
15
0
24 May 2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
David Hin
Andrey Kan
Huaming Chen
M. Babar
34
159
0
10 Mar 2022
GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network
Li Zhou
Minhuan Huang
Yujun Li
Yuanping Nie
Jin Li
Yiwei Liu
13
7
0
05 Feb 2022
Quantifying Cybersecurity Effectiveness of Dynamic Network Diversity
Huashan Chen
H. Çam
Shouhuai Xu
8
6
0
15 Dec 2021
Towards Learning (Dis)-Similarity of Source Code from Program Contrasts
Yangruibo Ding
Luca Buratti
Saurabh Pujar
Alessandro Morari
Baishakhi Ray
Saikat Chakraborty
23
36
0
08 Oct 2021
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation
Yufan Zhuang
Sahil Suneja
Veronika Thost
Giacomo Domeniconi
Alessandro Morari
Jim Laredo
GNN
27
15
0
07 Sep 2021
Vulnerability Detection with Fine-grained Interpretations
Yi Li
Shaohua Wang
Tien N Nguyen
AAML
24
212
0
19 Jun 2021
A comparative study of neural network techniques for automatic software vulnerability detection
Gaigai Tang
Lianxiao Meng
Shuangyin Ren
Weipeng Cao
Qiang Wang
Lin Yang
31
17
0
29 Apr 2021
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization
Sahil Suneja
Yunhui Zheng
Yufan Zhuang
Jim Laredo
Alessandro Morari
AAML
32
33
0
25 Nov 2020
A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and Defenses
Huashan Chen
Marcus Pendleton
Laurent L. Njilla
Shouhuai Xu
34
441
0
13 Aug 2019
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