Institut für
IT Sicherheitsforschung

Team

Dipl.-Ing. Fabian Kovac BSc

  • Junior Researcher
    Forschungsgruppe Data Intelligence
    Institut für IT Sicherheitsforschung
  • Department Informatik und Security
Arbeitsplatz: B - Campus-Platz 1
T: +43/2742/313 228 725

Studiengänge

  • Data Science and Artificial Intelligence (BA)

Departments

  • Informatik und Security

Publikationen

Bibtex für alle Ergebnisse downloaden
Slijepčević, D., Klausner, L. D., Eigner, O., Ladner, S., Kietreiber, T., Belinskaya, Y., Kovac, F., Priebe, T., Judmaier, P., Litschka, M., & Zeppelzauer, M. (2026). TrustAI: Designing and Implementing a Trustworthy and User-Centered AI Platform. Proceedings of the 36th International Conference on Database and Expert Systems Applications – DEXA 2025 Workshops, CCIS, volume 2615, 15–29. https://doi.org/10.1007/978-3-032-02003-1_2
Kovac, F., & Eigner, O. (2024, April 22). Unlocking the Power of Active Learning: A Hands-on Exploration. Workshop at Machine Learning Prague (MLPRAGUE) 2024, Prague, Czech Republic. https://www.mlprague.com/prague2024/
Kovac, F. (2023, June 3). [Keynote] Standing Still Is Not An Option: Alternative Baselines for Attainable Utility Preservation. Machine Learning Prague (MLPRAGUE) 2023, Prague, Czech Republic. https://mlprague.com/
Kovac, F. (2023, March 24). Standing Still Is Not An Option: Variations of Attainable Utility Preservation in Action-driven Environments. Social Artificial Intelligence Night (SAINT) 2023, St. Pölten, Austria. https://saint.fhstp.ac.at/
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
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
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