M. Sc. Felix Mächtle

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:	@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}, }

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

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