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Revisiting the Performance of Deep Learning-Based Vulnerability
  Detection on Realistic Datasets

Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets

3 July 2024
Partha Chakraborty
Krishna Kanth Arumugam
Mahmoud Alfadel
Meiyappan Nagappan
Shane McIntosh
ArXivPDFHTML

Papers citing "Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets"

3 / 3 papers shown
Title
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
202
631
0
26 Feb 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
311
4,203
0
23 Aug 2019
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
160
25,247
0
09 Jun 2011
1