AALpy: an active automata learning library E Muškardin, BK Aichernig, I Pill, A Pferscher, M Tappler Innovations in Systems and Software Engineering 18 (3), 417-426, 2022 | 74 | 2022 |
Learning-based fuzzing of IoT message brokers BK Aichernig, E Muškardin, A Pferscher 2021 14th IEEE Conference on Software Testing, Verification and Validation …, 2021 | 32 | 2021 |
Implementation of hashing algorithms in stream mining E Muskardin, MB Bakaric, M Matetic 2018 International Conference on Smart Systems and Technologies (SST), 233-238, 2018 | 18 | 2018 |
Learning finite state models from recurrent neural networks E Muškardin, BK Aichernig, I Pill, M Tappler International Conference on Integrated Formal Methods, 229-248, 2022 | 16 | 2022 |
Active model learning of stochastic reactive systems M Tappler, E Muškardin, BK Aichernig, I Pill International Conference on Software Engineering and Formal Methods, 481-500, 2021 | 16 | 2021 |
Catio-a framework for model-based diagnosis of cyber-physical systems E Muškardin, I Pill, F Wotawa Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020 | 11 | 2020 |
Automata learning meets shielding M Tappler, S Pranger, B Könighofer, E Muškardin, R Bloem, K Larsen International Symposium on Leveraging Applications of Formal Methods, 335-359, 2022 | 10 | 2022 |
Reinforcement learning under partial observability guided by learned environment models E Muškardin, M Tappler, BK Aichernig, I Pill International Conference on Integrated Formal Methods, 257-276, 2023 | 9 | 2023 |
Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols E Muskardin, A Pferscher, BK Aichernig Formal Methods for Autonomous Systems, 2022 | 9* | 2022 |
Mining Digital Twins of a VPN Server. A Pferscher, B Wunderling, BK Aichernig, E Muskardin FMDT@ FM, 2023 | 5 | 2023 |
Testing-based black-box extraction of simple models from RNNs and transformers E Muškardin, M Tappler, BK Aichernig International Conference on Grammatical Inference, 291-294, 2023 | 4 | 2023 |
Learning Environment Models with Continuous Stochastic Dynamics M Tappler, E Muškardin, BK Aichernig, B Könighofer arXiv preprint arXiv:2306.17204, 2023 | 2 | 2023 |
Automata learning enabling model-based diagnosis E Muškardin, I Pill, M Tappler, BK Aichernig 32nd International Workshop on Principle of Diagnosis, Hamburg-Germany …, 2021 | 2 | 2021 |
Learning environment models with continuous stochastic dynamics-with an application to deep rl testing M Tappler, E Muškardin, BK Aichernig, B Köninghofer 2024 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2024 | 1 | 2024 |
Active model learning of stochastic reactive systems (extended version) E Muškardin, M Tappler, BK Aichernig, I Pill Software and Systems Modeling 23 (2), 503-524, 2024 | 1 | 2024 |
Modelling and Analysis of Machine Learning Systems with Automata Learning E Muskardin | | 2024 |
Active Model Learning of Git Version Control System E Muškardin, T Burgstaller, M Tappler, BK Aichernig 2024 IEEE International Conference on Software Testing, Verification and …, 2024 | | 2024 |
On the Relationship Between RNN Hidden-State Vectors and Semantic Structures E Muškardin, M Tappler, I Pill, BK Aichernig, T Pock Findings of the 62nd Annual Meeting of the Association for Computational …, 2024 | | 2024 |
On the Relationship Between RNN Hidden State Vectors and Semantic Ground Truth E Muškardin, M Tappler, I Pill, BK Aichernig, T Pock arXiv preprint arXiv:2306.16854, 2023 | | 2023 |
Mining Digital Twins of a VPN Server E Muskardin, A Pferscher, BK Aichernig, B Wunderling Workshop on Applications of Formal Methods and Digital Twins, 2023 | | 2023 |