On a 28,000-sample slice of the Draper VDISC dataset, stacking GraphCodeBERT and UniXcoder with an SVM meta-classifier lifts vulnerability detection accuracy from 81.54% to 82.36%.
Predictive analytics on open big data for supporting smart transportation services,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code
On a 28,000-sample slice of the Draper VDISC dataset, stacking GraphCodeBERT and UniXcoder with an SVM meta-classifier lifts vulnerability detection accuracy from 81.54% to 82.36%.