3 papers
cs.SE2026
Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models
Sabrina Kaniewski, Fabian Schmidt, Tobias Heer
Large language models (LLMs) have shown strong potential for automated software vulnerability detection, particularly in retrieval-augmented generation (RAG) settings. However, for…
cs.SE2025
A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
Sabrina Kaniewski, Fabian Schmidt, Markus Enzweiler +2
The increasing adoption of Large Language Models (LLMs) in software engineering has sparked interest in their use for software vulnerability detection. However, the rapid developme…
cs.SE2024
Vulnerability Handling of AI-Generated Code -- Existing Solutions and Open Challenges
Sabrina Kaniewski, Dieter Holstein, Fabian Schmidt +1
The increasing use of generative Artificial Intelligence (AI) in modern software engineering, particularly Large Language Models (LLMs) for code generation, has transformed profess…