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Author

Yu Nong

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Review Aug 2026

How Reliable Are NVD CWE Labels? A Large-Scale Semantic Audit with Seclometry

CWE labels in the National Vulnerability Database (NVD) are widely treated as ground truth for vulnerability search, scanner evaluation, benchmark construction, learning-based security tools, and vulnerability prioritization. Yet their reliability has not been systematically measured at scale, despite growing concerns...

Yu Nong, Yao Du, Majid Behravan et al. · 0 citations
#software testing Preprint Sep 2026

The Data Problem in Software Vulnerability Analysis: Artifacts, Quality, and Consumption

This work investigates the data behind vulnerability analysis through a dataset-centric taxonomy that separates what an artifact is (code, metadata, patches, tests/PoCs, reasoning, traces), how good it is (realism, label evidence, scale, diversity, leakage, availability), and what it is used for.

Yu Nong, Yao Du, Tian-Xiang Xu et al. · 0 citations
Preprint Aug 2026

Neuro-Symbolic Proof-of-Vulnerability Generation with Open-Weight Models

POVGEN, a low-cost neuro-symbolic framework that makes PoV generation cost-effective via semantic focusing and LLM-guided constraint reasoning using open-weight models, and fine-tuned open-weight models match frontier commercial LLMs on key sub-tasks while running locally at no per-sample API cost.

Yu Nong, Hai-Peng Cai · 0 citations

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