Madvex: Instrumentation-Based Adversarial Attacks on Machine Learning Malware Detection. - Nils Loose; Felix Mächtle; Claudius Pott; Volodymyr Bezsmertnyi; Thomas Eisenbarth 001 (DIMVA, 2023)

SWAT: Modular Dynamic Symbolic Execution for Java Applications using Dynamic Instrumentation (Competition Contribution). - Nils Loose; Felix Mächtle; Florian Sieck; Thomas Eisenbarth 001 (TACAS (3), 2024)

SWAT - Dynamic Symbolic Execution for Java Applications. - Nils Loose; Florian Sieck; Felix Mächtle; Thomas Eisenbarth 001 (Zenodo, 2024)

SWAT - Dynamic Symbolic Execution for Java Applications. - Nils Loose; Florian Sieck; Felix Mächtle; Thomas Eisenbarth 001 (Zenodo, 2024)

SWAT - Dynamic Symbolic Execution for Java Applications. - Nils Loose; Florian Sieck; Felix Mächtle; Thomas Eisenbarth 001 (Zenodo, 2024)

SWAT - Dynamic Symbolic Execution for Java Applications. - Nils Loose; Florian Sieck; Felix Mächtle; Thomas Eisenbarth 001 (Zenodo, 2024)

SWAT - Dynamic Symbolic Execution for Java Applications. - Nils Loose; Florian Sieck; Felix Mächtle; Thomas Eisenbarth 001 (Zenodo, 2024)

OCEAN: Open-World Contrastive Authorship Identification. - Felix Mächtle; Jan-Niclas Serr; Nils Loose; Jonas Sander; Thomas Eisenbarth 001 (ACNS (2), 2025)

Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction. - Felix Mächtle; Nils Loose; Tim Schulz; Florian Sieck; Jan-Niclas Serr; Ralf Möller 001; Thomas Eisenbarth 001 (CoRR, 2025)