Institut für
IT Sicherheitsforschung

Team

FH-Prof. Dr. Alexander Adrowitzer

  • Studiengangsleiter Digital Innovation and Research (MA)
  • Stellvertretender Studiengangsleiter Data Science and Artificial Intelligence (BA)
  • FH-Dozent
  • Internationaler Koordinator
  • Department Informatik und Security
Arbeitsplatz: B - Campus-Platz 1
M: +43/676/847 228 713

Studiengänge

  • Digital Innovation and Research (MA)
  • Data Science and Artificial Intelligence (BA)
  • Information Security (MA)
  • Data Intelligence (MA)

Departments

  • Informatik und Security

Publikationen

Bibtex für alle Ergebnisse downloaden
Adrowitzer, A., Temper, M., Buchelt, A., Kieseberg, P., & Eigner, O. (2024). Safeguarding the Future of Artificial Intelligence: An AI Blueprint. In Artificial Intelligence for Security (pp. 3–22). Springer Cham. https://doi.org/10.1007/978-3-031-57452-8_1
Buchelt, A., Adrowitzer, A., Kieseberg, P., Gollob, C., Nothdurft, A., Eresheim, S., Tschiatschek, S., Stampfer, K., & Holzinger, A. (2024). Exploring artificial intelligence for applications of drones in forest ecology and management. Forest Ecology and Management, 551, 121530. https://doi.org/10.1016/j.foreco.2023.121530
Eresheim, S., Kovac, F., & Adrowitzer, A. (2023). Standing Still Is Not an Option: Alternative Baselines for Attainable Utility Preservation. In A. Holzinger, P. Kieseberg, F. Cabitza, A. Campagner, A. M. Tjoa, & E. Weippl (Eds.), Machine Learning and Knowledge Extraction (Vol. 14065, pp. 239–257). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40837-3_15
Priebe, T., Kieseberg, P., Adrowitzer, A., Eigner, O., & Kovac, F. (2023). Sustainability Effects of Robust and Resilient Artificial Intelligence. In A. Holzinger, P. Kieseberg, F. Cabitza, A. Campagner, A. M. Tjoa, & E. Weippl (Eds.), Machine Learning and Knowledge Extraction (Vol. 14065, pp. 188–199). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40837-3_12
Kovac, F., Eigner, O., Adrowitzer, A., Scholnast, H., & Buchelt, A. (2022). Classification of rain events using directional radio data of commercial microwave links. 2022 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), 1–6. https://doi.org/10.1109/COINS54846.2022.9855003