3 papers
cs.SE2026
Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models
Felix Mächtle, Jan-Niclas Serr, Nils Loose +1
Large Language Models (LLMs) are increasingly integrated into software engineering workflows, yet current benchmarks provide only coarse performance summaries that obscure the dive…
cs.CR2025
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
Felix Mächtle, Nils Loose, Tim Schulz +4
As the number of web applications and API endpoints exposed to the Internet continues to grow, so does the number of exploitable vulnerabilities. Manually identifying such vulnerab…
cs.AI2024
OCEAN: Open-World Contrastive Authorship Identification
Felix Mächtle, Jan-Niclas Serr, Nils Loose +2
In an era where cyberattacks increasingly target the software supply chain, the ability to accurately attribute code authorship in binary files is critical to improving cybersecuri…