5 papers
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…
Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts
Felix Mächtle, Ashwath Shetty, Jonas Sander +3
Diffusion models have significantly advanced text-to-image generation, enabling the creation of highly realistic images conditioned on textual prompts and seeds. Given the consider…
AutoStub: Genetic Programming-Based Stub Creation for Symbolic Execution
Felix Mächtle, Nils Loose, Jan-Niclas Serr +2
Symbolic execution is a powerful technique for software testing, but suffers from limitations when encountering external functions, such as native methods or third-party libraries.…
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…
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…