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DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based
  Vulnerability Detection

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

1 April 2023
Yizheng Chen
Zhoujie Ding
Lamya Alowain
Xinyun Chen
David A. Wagner
    AAML
ArXivPDFHTML

Papers citing "DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection"

21 / 21 papers shown
Title
Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers
Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers
Massimiliano Albanese
Xinming Ou
Kevin Lybarger
Daniel Lende
Dmitry Goldgof
26
0
0
09 May 2025
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
José Gonçalves
Miguel Silva
Eva Maia
Isabel Praça
24
0
0
08 May 2025
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation
Poster: Machine Learning for Vulnerability Detection as Target Oracle in Automated Fuzz Driver Generation
Gianpietro Castiglione
Marcello Maugeri
G. Bella
25
0
0
02 May 2025
SecRepoBench: Benchmarking LLMs for Secure Code Generation in Real-World Repositories
SecRepoBench: Benchmarking LLMs for Secure Code Generation in Real-World Repositories
Connor Dilgren
Purva Chiniya
Luke Griffith
Yu Ding
Yizheng Chen
42
0
0
29 Apr 2025
Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey
Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey
Shuang Tian
Tao Zhang
Jiaheng Liu
Jiacheng Wang
Xuangou Wu
...
Ruichen Zhang
W. Zhang
Zhenhui Yuan
Shiwen Mao
Dong In Kim
57
0
0
22 Apr 2025
CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
Richard A. Dubniczky
Krisztofer Zoltán Horvát
Tamás Bisztray
M. Ferrag
Lucas C. Cordeiro
Norbert Tihanyi
48
1
0
12 Mar 2025
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
Felix Weissberg
Jonas Moller
Tom Ganz
Erik Imgrund
Lukas Pirch
Lukas Seidel
Moritz Schloegel
Thorsten Eisenhofer
Konrad Rieck
99
3
0
12 Feb 2025
Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
Large Language Models for In-File Vulnerability Localization Can Be "Lost in the End"
Francesco Sovrano
Adam Bauer
Alberto Bacchelli
54
0
0
09 Feb 2025
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models
MoPD: Mixture-of-Prompts Distillation for Vision-Language Models
Yang Chen
Shuai Fu
Yu Zhang
VLM
44
0
0
26 Dec 2024
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
Can Neural Decompilation Assist Vulnerability Prediction on Binary Code?
D. Cotroneo
F. C. Grasso
R. Natella
V. Orbinato
91
0
0
10 Dec 2024
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
Weizhou Wang
Eric Liu
Xiangyu Guo
Xiao Hu
Ilya Grishchenko
David Lie
28
1
0
28 Aug 2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Niklas Risse
Marcel Bohme
Marcel Böhme
48
4
0
23 Aug 2024
Large Language Models for Cyber Security: A Systematic Literature Review
Large Language Models for Cyber Security: A Systematic Literature Review
HanXiang Xu
Shenao Wang
Ningke Li
Kaidi Wang
Yanjie Zhao
Kai Chen
Ting Yu
Yang Liu
Haoyu Wang
34
23
0
08 May 2024
When LLMs Meet Cybersecurity: A Systematic Literature Review
When LLMs Meet Cybersecurity: A Systematic Literature Review
Jie Zhang
Haoyu Bu
Hui Wen
Yu Chen
Lun Li
Hongsong Zhu
42
36
0
06 May 2024
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
60
5
0
15 Mar 2024
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
Yuqiang Sun
Daoyuan Wu
Yue Xue
Han Liu
Wei Ma
Lyuye Zhang
Miaolei Shi
Yingjiu Li
ELM
84
47
0
29 Jan 2024
Using ChatGPT as a Static Application Security Testing Tool
Using ChatGPT as a Static Application Security Testing Tool
Atieh Bakhshandeh
Abdalsamad Keramatfar
Amir Norouzi
Mohammad Mahdi Chekidehkhoun
27
13
0
28 Aug 2023
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining
  GPT with Program Analysis
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
Yuqiang Sun
Daoyuan Wu
Yue Xue
Hangbo Liu
Haijun Wang
Zhengzi Xu
Xiaofei Xie
Yang Liu
25
79
0
07 Aug 2023
A Systematic Evaluation of Large Language Models of Code
A Systematic Evaluation of Large Language Models of Code
Frank F. Xu
Uri Alon
Graham Neubig
Vincent J. Hellendoorn
ELM
ALM
204
631
0
26 Feb 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
235
1,489
0
02 Sep 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
198
1,105
0
09 Feb 2021
1