M. Sc. Nils Loose

Photo of Nils Loose

Wissenschaftlicher Mitarbeiter


Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 1. OG, Raum 029

Email: n.loose(at)uni-luebeck.de
Phone: +49 451 3101 6605
Fax: +49 451 3101 6604

Details: https://bio.nils-loose.com

Publikationen

2026

Felix Mächtle, Jan-Niclas Serr, Nils Loose, and Thomas Eisenbarth,
Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models, in IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, DeepTest@ICSE 2026 , 2026.
Nils Loose, Nico Winkel, Kristoffer Hempel, Felix Mächtle, Julian Hans, and Thomas Eisenbarth,
Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing, in ACM/IEEE International Workshop on Search-Based and Fuzz Testing, SBFT 2026 , 2026.
Felix Mächtle, Jan-Niclas Serr, Nils Loose, and Thomas Eisenbarth,
DASA: Fully Gradient-based Program Analysis (Competition Contribution), in Tools and Algorithms for the Construction and Analysis of Systems - 32th International Conference, TACAS 2026 , 2026.
Nils Loose, Florian Sieck, Felix Mächtle, and Thomas Eisenbarth,
SWAT: Improvements to the symbolic executor (competition contribution), in Tools and Algorithms for the Construction and Analysis of Systems - 32th International Conference, TACAS 2026 , 2026.
Felix Mächtle, Nils Loose, Tim Schulz, Florian Sieck, Jan-Niclas Serr, Ralf Möller, and Thomas Eisenbarth,
Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction, in 21st ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2026) , 2026.
Weblink: https://arxiv.org/pdf/2504.13676
Bibtex: BibTeX
@article{DBLP:journals/corr/abs-2504-13676,
  author       = {Felix M{\"{a}}chtle and
                  Nils Loose and
                  Tim Schulz and
                  Florian Sieck and
                  Jan{-}Niclas Serr and
                  Ralf M{\"{o}}ller and
                  Thomas Eisenbarth},
  title        = {Trace Gadgets: Minimizing Code Context for Machine Learning-Based
                  Vulnerability Prediction},
  journal      = {CoRR},
  volume       = {abs/2504.13676},
  year         = {2025},
  url          = {https://doi.org/10.48550/arXiv.2504.13676},
  doi          = {10.48550/ARXIV.2504.13676},
  eprinttype    = {arXiv},
  eprint       = {2504.13676},
  timestamp    = {Thu, 22 May 2025 21:00:38 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2504-13676.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

2025

Felix Mächtle, Nils Loose, Jan-Niclas Serr, Jonas Sander, and Thomas Eisenbarth,
AutoStub: Genetic Programming-Based Stub Creation for Symbolic Execution, in Proceedings of the 18th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, SBFT 2025 , 2025.
Felix Mächtle, Jan-Niclas Serr, Nils Loose, Jonas Sander, and Thomas Eisenbarth,
OCEAN: Open-World Contrastive Authorship Identification, in Applied Cryptography and Network Security (ACNS) 2025 , 2025.
Weblink: https://arxiv.org/abs/2412.05049
Bibtex: BibTeX
@misc{maechtle2024oceanopenworldcontrastiveauthorship,
      title={OCEAN: Open-World Contrastive Authorship Identification}, 
      author={Felix Mächtle and Jan-Niclas Serr and Nils Loose and Jonas Sander and Thomas Eisenbarth},
      year={2024},
      eprint={2412.05049},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2412.05049}, 
}
Felix Mächtle, Ashwath Shetty, Jonas Sander, Nils Loose, Sören Pirk, and Thomas Eisenbarth,
Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts, 2025.
Weblink: https://arxiv.org/pdf/2509.09488
Bibtex: BibTeX
@misc{maechtle2025promptpirates,
      title={Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts}, 
      author={Felix Mächtle and Ashwath Shetty and Jonas Sander and Nils Loose and Sören Pirk and Thomas Eisenbarth},
      year={2025},
      eprint={2509.09488},
      archivePrefix={arXiv},
      primaryClass={cs.CR},
      url={https://arxiv.org/abs/2509.09488}, 
}

2024

Nils Loose, Felix Mächtle, Florian Sieck, and Thomas Eisenbarth,
SWAT: Modular Dynamic Symbolic Execution for Java Applications using Dynamic Instrumentation (Competition Contribution), in Tools and Algorithms for the Construction and Analysis of Systems - 30th International Conference, TACAS 2024, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, Luxembourg City, Luxembourg, April 6-11, 2024, Proceedings, Part III , Bernd Finkbeiner and Laura Kovács, Eds. Springer, 2024. pp. 399-405.
DOI:10.1007/978-3-031-57256-2_28
Datei: 978-3-031-57256-2_28

2023

Nils Loose, Felix Mächtle, Claudius Pott, Volodymyr Bezsmertnyi, and Thomas Eisenbarth,
Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection, in Detection of Intrusions and Malware, and Vulnerability Assessment (DIMVA) - 20th International Conference , Daniel Gruss and Federico Maggi and Mathias Fischer and Michele Carminati, Eds. Springer, 2023. pp. 69-88.
DOI:10.1007/978-3-031-35504-2_4
Weblink: https://arxiv.org/abs/2305.02559