| 2026 | AsiaCCS | Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction. | Felix Mchtle, Nils Loose, Tim Schulz, Florian Sieck, Jan-Niclas Serr, Ralf Mller, Thomas Eisenbarth |
| 2026 | AsiaCCS | Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts. | Felix Mchtle, Ashwath Shetty, Jonas Sander, Nils Loose, Sren Pirk, Thomas Eisenbarth |
| 2026 | TACAS | SWAT: Improvements to the Symbolic Executor (Competition Contribution). | Nils Loose, Florian Sieck, Felix Mchtle, Thomas Eisenbarth |
| 2026 | TACAS | DASA: Fully Gradient-Based Program Analysis (Competition Contribution). | Felix Mchtle, Jan-Niclas Serr, Nils Loose, Thomas Eisenbarth |
| 2025 | ACNS | OCEAN: Open-World Contrastive Authorship Identification. | Felix Mchtle, Jan-Niclas Serr, Nils Loose, Jonas Sander, Thomas Eisenbarth |
| 2024 | TACAS | SWAT: Modular Dynamic Symbolic Execution for Java Applications using Dynamic Instrumentation (Competition Contribution). | Nils Loose, Felix Mchtle, Florian Sieck, Thomas Eisenbarth |
| 2023 | DIMVA | Madvex: Instrumentation-Based Adversarial Attacks on Machine Learning Malware Detection. | Nils Loose, Felix Mchtle, Claudius Pott, Volodymyr Bezsmertnyi, Thomas Eisenbarth |