Published March 28, 2026
| Version v1
Journal
Open
A responsible AI-driven framework for robust and transparent software vulnerability detection
Authors/Creators
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1.
Anglia Ruskin University
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2.
University of East London
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3.
Lappeenranta-Lahti University of Technology
- 4. College of Artificial Intelligence, Dalian Maritime University, Dalian 116026, China
Description
Software vulnerability detection (SVD) is increasingly challenged by the scale and complexity of modern software systems. Although deep learning and LLM-based approaches demonstrate strong detection performance, their adoption in security-critical settings is limited by insufficient interpretability, adversarial resilience, and systematic Responsible AI integration.
Files
A responsible AI-driven framework for robust and transparent software vulnerability detection.pdf
Files
(3.4 MB)
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