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cs.SE2026
PatchCon: Patch-aware Weighted Supervised Contrastive Learning for Vulnerability Detection
Chaomeng Lu, Pooya Rostami Mazrae, Bert Lagaisse
Automated vulnerability detection is critical for securing modern software systems, yet existing learning-based approaches often treat functions as independent samples and underuse…
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…