Daniel Christopher Arp

Daniel Christopher Arp is an Assistant Professor at the Vienna University of Technology, affiliated with the Security and Privacy group (E192-06). His research focuses on building robust and explainable AI-based defenses for computer security, supported by the Vienna Science and Technology Fund (WWTF) project (2024–2030). He teaches courses including Machine Learning for Computer Security, Project in Computer Science, and the Seminar for PhD Students.

• Email: daniel.arp@tuwien.ac.at
• Phone: +43-1-58801-192614
• Office: Favoritenstrasse 9, Room HA0111

Research Interests: Daniel specializes in applying machine learning techniques to enhance computer security, with a focus on explainability and robustness against adversarial attacks. His work addresses critical challenges in AI reliability for cybersecurity applications.

Project: He leads the WWTF-funded initiative Building Robust and Explainable AI-based Defenses for Computer Security (2024–2030), aiming to develop interpretable AI models for security systems.

Publications Trends: His recent work highlights pitfalls in ML-driven security systems, emphasizing the need for rigorous evaluation frameworks and adversarial robustness.

Courses: Daniel supervises bachelor theses, teaches project-based computer science courses, and mentors PhD students in security-related research.