| Cyber threat response using reinforcement learning in graph-based attack simulations J Nyberg, P Johnson, A Méhes NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-4, 2022 | 7 | 2022 |
| Training Automated Defense Strategies Using Graph-based Cyber Attack Simulations J Nyberg, P Johnson arXiv preprint arXiv:2304.11084, 2023 | 6 | 2023 |
| Improving armed conflict prediction using machine learning: ViEWS+ V Helle, AS Negus, J Nyberg | 5 | 2018 |
| Anomaly Detection in Security Logs using Sequence Modeling S Gökstorp, J Nyberg, Y Kim, P Johnson, G Dán NOMS 2024-2024 IEEE Network Operations and Management Symposium, 1-9, 2024 | 1 | 2024 |
| Estimating Subjective Crowd-Evaluations as an Additional Objective to Improve Natural Language Generation J Nyberg, R Manuvinakurike, M Paetzel-Prüsmann arXiv preprint arXiv:2104.05224, 2021 | 1 | 2021 |
| Response Generation Using Large-scale Pre-trained Language Models J Nyberg | 1 | 2020 |
| Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning J Nyberg, P Johnson 2024 IEEE International Conference on Cyber Security and Resilience (CSR …, 2024 | | 2024 |
| Channel-Centric Spatio-Temporal Graph Networks for Network-based Intrusion Detection ES Escriche, J Nyberg, Y Kim, G Dán | | |
Pontus JohnsonProfessor, KTH Royal Institute of Technology在 kth.se 的电子邮件经过验证
Pontus JohnsonProfessor, KTH Royal Institute of Technology在 kth.se 的电子邮件经过验证