publications
2026
N Loose, J Sander, F Mächtle, T Eisenbarth · arXiv
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
F Mächtle, N Loose, T Schulz, F Sieck, JN Serr, R Müller, T Eisenbarth · AsiaCCS
SWAT: Improvements to the Symbolic Executor
N Loose, F Sieck, F Mächtle, T Eisenbarth · TACAS · competition contribution
Dasa: Fully Gradient-Based Program Analysis
F Mächtle, JN Serr, N Loose, T Eisenbarth · TACAS · competition contribution
Prompt Pirates Need a Map: Stealing Seeds Helps Stealing Prompts
F Mächtle, A Shetty, J Sander, N Loose, S Pirk, T Eisenbarth · AsiaCCS
Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models
F Mächtle, JN Serr, N Loose, T Eisenbarth · ICSE - DeepTest
N Loose, J Bienhöls, K Hempel, F Mächtle, T Eisenbarth · ASE
N Loose, N Winkel, K Hempel, F Mächtle, J Hans, T Eisenbarth · arXiv
2025
OCEAN: Open-World Contrastive Authorship Identification
F Mächtle, JN Serr, N Loose, J Sander, T Eisenbarth · ACNS
AutoStub: Genetic Programming-Based Stub Creation for Symbolic Execution
F Mächtle, N Loose, JN Serr, J Sander, T Eisenbarth · ICSE - SBFT
2024
SWAT: Modular Dynamic Symbolic Execution for Java Applications Using Dynamic Instrumentation
N Loose, F Mächtle, F Sieck, T Eisenbarth · TACAS · competition contribution
SOVEREIGN — Towards a Holistic Approach to Critical Infrastructure Protection
G Becker, T Eisenbarth, H Federrath, M Fischer, N Loose, S Ott, J Pecholt, et al. · ARES
2023
Madvex: Instrumentation-Based Adversarial Attacks on Machine Learning Malware Detection
N Loose, F Mächtle, C Pott, V Bezsmertnyi, T Eisenbarth · DIMVA
2022
N Loose · master thesis · university of lübeck