| Detection of illicit cryptomining using network metadata M Russo, N Šrndić, P Laskov EURASIP Journal on Information Security 2021 (1), 11, 2021 | 16 | 2021 |
| Active tls stack fingerprinting: Characterizing tls server deployments at scale M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ... arXiv preprint arXiv:2206.13230, 2022 | 10 | 2022 |
| GCNH: A Simple Method For Representation Learning On Heterophilous Graphs A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 6 | 2023 |
| 2-hop neighbor class similarity (2ncs): A graph structural metric indicative of graph neural network performance A Cavallo, C Grohnfeldt, M Russo, G Lovisotto, L Vassio arXiv preprint arXiv:2212.13202, 2022 | 6 | 2022 |
| Anomaly detection in vehicle-to-infrastructure communications M Russo, M Labonne, A Olivereau, M Rmayti 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-6, 2018 | 6 | 2018 |
| EFACTLS: Effective Active TLS Fingerprinting for Large-scale Server Deployment Characterization M Sosnowski, J Zirngibl, P Sattler, G Carle, C Grohnfeldt, M Russo, ... IEEE Transactions on Network and Service Management, 2024 | | 2024 |
| Continuous-Time Temporal Graph Learning on Provenance Graphs J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1131-1140, 2023 | | 2023 |
| Anomaly Detection in Continuous-Time Temporal Provenance Graphs J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt Temporal Graph Learning Workshop@ NeurIPS 2023, 2023 | | 2023 |
Claas GrohnfeldtPrincipal Research Engineer @ Huawei Technologies - Munich Research Center - AI4SecVerified email at huawei.com
