| A survey on data augmentation for text classification M Bayer, MA Kaufhold, C Reuter ACM Computing Surveys, 2022 | 299 | 2022 |
| Rapid relevance classification of social media posts in disasters and emergencies: A system and evaluation featuring active, incremental and online learning MA Kaufhold, M Bayer, C Reuter Information Processing & Management 57 (1), 102132, 2020 | 122 | 2020 |
| Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers M Bayer, MA Kaufhold, B Buchhold, M Keller, J Dallmeyer, C Reuter International journal of machine learning and cybernetics 14 (1), 135-150, 2023 | 82 | 2023 |
| Cysecalert: An alert generation system for cyber security events using open source intelligence data T Riebe, T Wirth, M Bayer, P Kühn, MA Kaufhold, V Knauthe, S Guthe, ... International Conference on Information and Communications Security, 429-446, 2021 | 23 | 2021 |
| Cysecbert: A domain-adapted language model for the cybersecurity domain M Bayer, P Kuehn, R Shanehsaz, C Reuter arXiv preprint arXiv:2212.02974, 2022 | 21 | 2022 |
| Resiliente Digitalisierung der kritischen Infrastruktur Landwirtschaft-mobil, dezentral, ausfallsicher C Reuter, W Schneider, D Eberz, M Bayer, D Hartung, C Kaygusuz Gesellschaft für Informatik eV, 2018 | 21 | 2018 |
| OVANA: An approach to analyze and improve the information quality of vulnerability databases P Kuehn, M Bayer, M Wendelborn, C Reuter Proceedings of the 16th International Conference on Availability …, 2021 | 16 | 2021 |
| Multi-level fine-tuning, data augmentation, and few-shot learning for specialized cyber threat intelligence M Bayer, T Frey, C Reuter Computers & Security 134, 103430, 2023 | 11 | 2023 |
| CYWARN: Strategy and technology development for cross-platform cyber situational awareness and actor-specific cyber threat communication MA Kaufhold, J Fromm, T Riebe, M Mirbabaie, P Kuehn, AS Basyurt, ... Gesellschaft für Informatik eV, 2021 | 8 | 2021 |
| Information overload in crisis management: Bilingual evaluation of embedding models for clustering social media posts in emergencies M Bayer, MA Kaufhold, C Reuter AIS, 2021 | 6 | 2021 |
| Threatcrawl: A bert-based focused crawler for the cybersecurity domain P Kuehn, M Schmidt, M Bayer, C Reuter arXiv preprint arXiv:2304.11960, 2023 | 3 | 2023 |
| Design and evaluation of deep learning models for real-time credibility assessment in Twitter MA Kaufhold, M Bayer, D Hartung, C Reuter Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 2 | 2021 |
| ‘We Do Not Have the Capacity to Monitor All Media’: A Design Case Study on Cyber Situational Awareness in Computer Emergency Response Teams MA Kaufhold, T Riebe, M Bayer, C Reuter Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-16, 2024 | 1 | 2024 |
| ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios M Bayer, C Reuter arXiv preprint arXiv:2405.10808, 2024 | | 2024 |
| XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation M Bayer, M Neiczer, M Samsinger, B Buchhold, C Reuter Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| CYLENCE: Strategies and Tools for Cross-Media Reporting, Detection, and Treatment of Cyberbullying and Hatespeech in Law Enforcement Agencies MA Kaufhold, M Bayer, J Bäumler, C Reuter, S Stieglitz, AS Basyurt, ... GI, 2023 | | 2023 |
Christian ReuterProfessor, Science and Technology for Peace and Security (PEASEC), TU Darmstadt在 peasec.tu-darmstadt.de 的电子邮件经过验证
