TSE · 2024
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets
Partha Chakraborty, Krishna Kanth Arumugam, Mahmoud Alfadel, Meiyappan Nagappan, Shane McIntosh
IEEE Transactions on Software Engineering
Abstract
We revisit the performance of deep learning-based vulnerability detection approaches on realistic datasets, finding that many existing techniques may not perform as well as previously reported when evaluated under more rigorous conditions.
security vulnerabilitiesmachine learning