Publikationen: Institut für IT Sicherheitsforschung – FHSTP

Mercaldo, F., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Tavolato, P. (2026, May 4). Towards the Introduction of Quantum Machine Learning in Possible Epileptic Seizure Detection. The 2026 International Conference on Breakthroughs in Artificial Intelligence. The 2026 International Conference on Breakthroughs in Artificial Intelligence.

Bibtex

Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., Petyx, M., Agnello, P., & Mercaldo, F. (2026, May 4). Privacy-Preserving and Explainable Epileptic Seizure Detection through Wavelet Transforms. The 2026 International Conference on Breakthroughs in Artificial Intelligence. The 2026 International Conference on Breakthroughs in Artificial Intelligence.

Bibtex

Luh, R., Eresheim, S., Tavolato, P., Petelin, T., Gmeiner, S., Holzinger, A., & Schrittwieser, S. (2025). Gamifying information security: Adversarial risk exploration for IT/OT infrastructures. Computers & Security, 151(April 2025), 104287. https://doi.org/10.1016/j.cose.2024.104287

Maier, E.-M., Tanczer, L., & Klausner, L. D. (2025). Surveillance Disguised as Protection: A Comparative Analysis of Sideloaded and In-Store Parental Control Apps. Proceedings on Privacy Enhancing Technologies, 2025(2), 107–124. https://doi.org/10.56553/popets-2025-0052

Seaborn, K., Mankoff, J., Rode, J., Williams, R. M., Klausner, L. D., Klumbytė, G., Toups Dugas, P. O., Muller, M., & anonymous author/s whose political circumstances do not allow a named contribution. (2025). Ignite: Organizing a Response to Attacks on Academic Freedom Impacting HCI Scholarship. Voices of SIGCHI, 1(2), 6–9. https://doi.org/10.1145/3771982.3771984

Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025). Explainable Brain Activity Classification from Audio Recordings and Convolutional Neural Networks. 2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA), 65–72. https://doi.org/10.1109/IDSTA66210.2025.11202815

Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., Agnello, P., Petyx, M., & Mercaldo, F. (2025, November 1). A Privacy-Preserving and Explainable Approach for Possible Epilepsy Seizure Detection. 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025). http://eprints.cs.univie.ac.at/8463

Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025). A Method for Explainable Epileptic Seizure Detection Through Wavelet Transforms Obtained by Electroencephalogram-Based Audio Recordings. Sensors, 26(1), 237. https://doi.org/10.3390/s26010237

Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025, November 19). On the detection of Possible Epileptic Seizure by means of Explainable and Robust Deep Learning. 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025). 6th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2025). https://eprints.cs.univie.ac.at/8462/

Tavolato, P., Schölnast, H., Eigner, O., Santone, A., Cesarelli, M., Martinelli, F., & Mercaldo, F. (2025, June 25). Possible Epileptic Seizure Detection by Means of Long Short-Term Memory Networks. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. http://eprints.cs.univie.ac.at/8428

Tavolato, P., Schölnast, H., Santone, A., Cesarelli, M., Martinelli, F., Mercaldo, F., & Eigner, O. (2025, June 25). Exploring the Possibility to Predict Epileptic Seizures through Explainable Machine Learning. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. 13th International Conference on Innovation in Medicine and Healthcare (InMed), 2025. https://eprints.cs.univie.ac.at/8429/

Temple, L., Viale Pereira, G., Kaltenbrunner, L., & Klausner, L. D. (2025). Small Towns, Big Questions: Methodological Insights into Use Case Selection for Digital Twins in Small Towns. Proceedings of the 2025 Eleventh International Conference on eDemocracy and eGovernment, 169–178. https://doi.org/10.1109/ICEDEG65568.2025.11081584

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

Eigner, O., Schölnast, H., & Tavolato, P. (2024). How to Find out What’s Going on in Encrypted Smart Meter Networks–without Decrypting Anything. Proceedings of the 19th International Conference on Availability, Reliability and Security, ARES "24, 1–6. https://doi.org/10.1145/3664476.3670925

Lnenicka, M., Nikiforova, A., Luterek, M., Milic, P., Rudmark, D., Neumaier, S., Santoro, C., Casiano Flores, C., Janssen, M., & Rodríguez Bolívar, M. P. (2024). Identifying patterns and recommendations of and for sustainable open data initiatives: A benchmarking-driven analysis of open government data initiatives among European countries. Government Information Quarterly, 41(1), 101898. https://doi.org/10.1016/j.giq.2023.101898

Lnenicka, M., Nikiforova, A., Clarinval, A., Luterek, M., Rudmark, D., Neumaier, S., Kević, K., & Rodríguez Bolívar, M. P. (2024). Sustainable open data ecosystems in smart cities: A platform theory-based analysis of 19 European cities. Cities, 148, 104851. https://doi.org/10.1016/j.cities.2024.104851

Lnenicka, M., Nikiforova, A., Luterek, M., Milic, P., Rudmark, D., Neumaier, S., Kević, K., Zuiderwijk, A., & Bolívar, M. P. R. (2024). Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems. Telematics and Informatics, 94, 102190. https://doi.org/10.1016/j.tele.2024.102190

Dam, T., Krimbacher, A., & Neumaier, S. (2023, September). Policy Patterns for Usage Control in Data Spaces. Fifth International Workshop On A Semantic Data Space For Transport @ SEMANTiCS 2023. SEMANTiCS 2023.

Bibtex

Kieseberg, P., Weippl, E., Tjoa, A. M., Cabitza, F., Campagner, A., & Holzinger, A. (2023). Controllable AI-An Alternative to Trustworthiness in Complex AI Systems? International Cross-Domain Conference for Machine Learning and Knowledge Extraction, Lecture Notes in Computer Science, 1–12. https://doi.org/10.1007/978-3-031-40837-3_1

Bibtex

Kovac, F. (2023, June 3). [Keynote] Standing Still Is Not An Option: Alternative Baselines for Attainable Utility Preservation. Machine Learning Prague (MLPRAGUE) 2023. https://www.mlprague.com/prague2023/