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Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability
  Detection

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection

15 December 2022
Benjamin Steenhoek
Hongyang Gao
Wei Le
ArXivPDFHTML

Papers citing "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection"

12 / 12 papers shown
Title
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
Felix Mächtle
Nils Loose
Tim Schulz
Florian Sieck
Jan-Niclas Serr
Ralf Möller
T. Eisenbarth
21
0
0
18 Apr 2025
Forecasting the risk of software choices: A model to foretell security vulnerabilities from library dependencies and source code evolution
C. E. Budde
Ranindya Paramitha
Fabio Massacci
31
0
0
17 Nov 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
27
4
0
23 Aug 2024
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level
  RAG
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
Xueying Du
Geng Zheng
Kaixin Wang
Jiayi Feng
Wentai Deng
Mingwei Liu
Bihuan Chen
Xin Peng
Tao Ma
Yiling Lou
25
29
0
17 Jun 2024
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
Ziyang Li
Saikat Dutta
Mayur Naik
45
40
0
27 May 2024
Multi-role Consensus through LLMs Discussions for Vulnerability
  Detection
Multi-role Consensus through LLMs Discussions for Vulnerability Detection
Zhenyu Mao
Jialong Li
Dongming Jin
Munan Li
Kenji Tei
23
11
0
21 Mar 2024
CodeArt: Better Code Models by Attention Regularization When Symbols Are
  Lacking
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
Zian Su
Xiangzhe Xu
Ziyang Huang
Zhuo Zhang
Yapeng Ye
Jianjun Huang
Xiangyu Zhang
OffRL
35
8
0
19 Feb 2024
Understanding the Effectiveness of Large Language Models in Detecting
  Security Vulnerabilities
Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities
Avishree Khare
Saikat Dutta
Ziyang Li
Alaia Solko-Breslin
Rajeev Alur
Mayur Naik
ELM
19
40
0
16 Nov 2023
VulBERTa: Simplified Source Code Pre-Training for Vulnerability
  Detection
VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
Hazim Hanif
S. Maffeis
58
92
0
25 May 2022
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
190
853
0
09 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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