2025S

• Bachelor Thesis / 192.061 / PR
• Project in Computer Science 1 / 192.021 / PR
• Project in Computer Science 2 / 192.022 / PR
• Selected Topics in Information Security / 188.985 / VU
• Seminar for PhD Students / 192.060 / SE

• Building Robust and Explainable AI-based Defenses for Computer Security
  2024 – 2030 / Vienna Science and Technology Fund (WWTF)

• Pitfalls in Machine Learning for Computer Security / Arp, D., Quiring, E., Pendlebury, F., Warnecke, A., Pierazzi, F., Wressnegger, C., Cavallaro, L., & Rieck, K. (2024). Pitfalls in Machine Learning for Computer Security. Communications of the ACM, 67(11), 104–112. https://doi.org/10.1145/3643456
  Download: Artikel (1.17 MB)