| Explainability and adversarial robustness for rnns A Hartl, M Bachl, J Fabini, T Zseby 2020 IEEE Sixth International Conference on Big Data Computing Service and …, 2020 | 41 | 2020 |
| Walling up backdoors in intrusion detection systems M Bachl, A Hartl, J Fabini, T Zseby Proceedings of the 3rd ACM CoNEXT workshop on big data, machine learning and …, 2019 | 21 | 2019 |
| A subliminal channel in EdDSA: Information leakage with high-speed signatures A Hartl, R Annessi, T Zseby Proceedings of the 2017 International Workshop on Managing Insider Security …, 2017 | 14 | 2017 |
| Subliminal channels in high-speed signatures AR Hartl Wien, 2018 | 10 | 2018 |
| Anomaly detection in streaming data: A comparison and evaluation study FI Vázquez, A Hartl, T Zseby, A Zimek Expert Systems with Applications 233, 120994, 2023 | 8 | 2023 |
| Are network attacks outliers? a study of space representations and unsupervised algorithms F Iglesias, A Hartl, T Zseby, A Zimek Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 8 | 2019 |
| MDCStream: Stream data generator for testing analysis algorithms F Iglesias, D Ojdanic, A Hartl, T Zseby Proceedings of the 13th EAI International Conference on Performance …, 2020 | 7 | 2020 |
| Beaconblocks: Augmenting proof-of-stake with on-chain time synchronization A Hartl, T Zseby, J Fabini 2019 IEEE International Conference on Blockchain (Blockchain), 353-360, 2019 | 7 | 2019 |
| SDOstream: Low-Density Models for Streaming Outlier Detection. A Hartl, F Iglesias, T Zseby ESANN, 661-666, 2020 | 5 | 2020 |
| SecTULab: A Moodle-Integrated Secure Remote Access Architecture for Cyber Security Laboratories J Fabini, A Hartl, F Meghdouri, C Breitenfellner, T Zseby Proceedings of the 16th International Conference on Availability …, 2021 | 2 | 2021 |
| Subverting Counter Mode Encryption for Hidden Communication in High-Security Infrastructures A Hartl, J Fabini, C Roschger, P Eder-Neuhauser, M Petrovic, R Tobler, ... Proceedings of the 16th International Conference on Availability …, 2021 | 2 | 2021 |
| SDOclust: Clustering with Sparse Data Observers F Iglesias, T Zseby, A Hartl, A Zimek International Conference on Similarity Search and Applications, 185-199, 2023 | 1 | 2023 |
| dSalmon: High-Speed Anomaly Detection for Evolving Multivariate Data Streams A Hartl, F Iglesias, T Zseby EAI International Conference on Performance Evaluation Methodologies and …, 2023 | 1 | 2023 |
| Separating Flows in Encrypted Tunnel Traffic A Hartl, J Fabini, T Zseby 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 1 | 2022 |
| Sicherheit Ladeinfrastruktur eMobilität: Steuerung von Ladeinfrastruktur durch CPOs und Aggregatoren J Fabini, A Hartl, F Meghdouri, T Zseby | | 2023 |
| Sicherheitsstudie Ladeinfrastrukturanbindung; Steuerung von Ladeinfrastruktur durch CPOs und Aggregatoren J Fabini, A Hartl, F Meghdouri, T Zseby Oesterreichs Energie, 2023 | | 2023 |
| Anomaly Detection for Network Security based on Streaming Data A Hartl Technische Universität Wien, 2023 | | 2023 |
| MDCStream F Iglesias, D Ojdanic, A Hartl, T Zseby Proceedings of the 13th EAI International Conference on Performance …, 2020 | | 2020 |
| A Subliminal Channel in EdDSA A Hartl, R Annessi, T Zseby Proceedings of the 2017 International Workshop on Managing Insider Security …, 2017 | | 2017 |
Tanja ZsebyTU WienDirección de correo verificada de tuwien.ac.at
