LLaVul: A Multimodal LLM for Interpretable Vulnerability Reasoning about Source CodeInternational Computer Science Conference (ICSC), 2025 |
Practically implementing an LLM-supported collaborative vulnerability
remediation process: a team-based approachComputers & security (Comput. Secur.), 2024 |
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for
Large Language Models' Training?Data Intelligence (DI), 2024 |
A Survey on Large Language Model (LLM) Security and Privacy: The Good,
the Bad, and the UglyHigh-Confidence Computing (HC), 2023 |
(Security) Assertions by Large Language ModelsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 |