8 citations · 8 across the 3 of their papers we have counts for
5 papers
Retrieve, Reproduce, Reveal: Dissecting Retrieval-Augmented Software Vulnerability Detection
Sabrina Kaniewski, Tim Krämer, Julius Bächle +3
Retrieval-Augmented Generation (RAG) is increasingly used to enhance Large Language Model (LLM)-based software vulnerability detection by grounding predictions in retrieved vulnera…
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…
Assessing the Real-World Impact of Post-Quantum Cryptography on WPA-Enterprise Networks
Lukas Köder, Nils Lohmiller, Phil Schmieder +3
The advent of large-scale quantum computers poses a significant threat to contemporary network security protocols, including Wi-Fi Protected Access (WPA)-Enterprise authentication.…
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…
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…