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%.
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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%.