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From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Empirical evaluation finds DL and LLM software vulnerability detection models degrade significantly under real-world distribution shifts.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 November 2026
- Collected by OneBench
- 18 Aug 2026, 15:11 UK
Stored source excerpt
arXiv:2512.10485v3 Announce Type: replace-cross Abstract: Vulnerability detection methods based on deep learning (DL) have shown strong performance on benchmark datasets, yet their real-world effectiveness remains…
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