1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CR2025
"Digital Camouflage": The LLVM Challenge in LLM-Based Malware Detection
Ekin Böke, Simon Torka
Large Language Models (LLMs) have emerged as promising tools for malware detection by analyzing code semantics, identifying vulnerabilities, and adapting to evolving threats. Howev…
cs.CR2024★ 1 cited
Exploring AI-Enabled Cybersecurity Frameworks: Deep-Learning Techniques, GPU Support, and Future Enhancements
Tobias Becher, Simon Torka
Traditional rule-based cybersecurity systems have proven highly effective against known malware threats. However, they face challenges in detecting novel threats. To address this i…
cs.DC2024★ 1 cited
ALPACA -- Adaptive Learning Pipeline for Comprehensive AI
Simon Torka, Sahin Albayrak
The advancement of AI technologies has greatly increased the complexity of AI pipelines as they include many stages such as data collection, pre-processing, training, evaluation an…