2 papers
cs.CR2026
From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection
Chaomeng Lu, Bert Lagaisse
Vulnerability detection methods based on deep learning (DL) have shown strong performance on benchmark datasets, yet their real-world effectiveness remains underexplored. Recent wo…
cs.SE2025
ICVul: A Well-labeled C/C++ Vulnerability Dataset with Comprehensive Metadata and VCCs
Chaomeng Lu, Tianyu Li, Toon Dehaene +1
Machine learning-based software vulnerability detection requires high-quality datasets, which is essential for training effective models. To address challenges related to data labe…