| NetHide: Secure and Practical Network Topology Obfuscation. R Meier, P Tsankov, V Lenders, L Vanbever, MT Vechev USENIX Security Symposium, 693-709, 2018 | 67 | 2018 |
| pforest: In-network inference with random forests C Busse-Grawitz, R Meier, A Dietmüller, T Bühler, L Vanbever arXiv preprint arXiv:1909.05680, 2019 | 25 | 2019 |
| FeedRank: A tamper-resistant method for the ranking of cyber threat intelligence feeds R Meier, C Scherrer, D Gugelmann, V Lenders, L Vanbever 2018 10th International Conference on Cyber Conflict (CyCon), 321-344, 2018 | 23 | 2018 |
| itap: In-network traffic analysis prevention using software-defined networks R Meier, D Gugelmann, L Vanbever Proceedings of the Symposium on SDN Research, 102-114, 2017 | 11 | 2017 |
| Machine learninģ-based detection of C&C channels with a focus on the locked shields cyber defense exercise N Känzig, R Meier, L Gambazzi, V Lenders, L Vanbever 2019 11th International Conference on Cyber Conflict (CyCon) 900, 1-19, 2019 | 9 | 2019 |
| (self) driving under the influence: Intoxicating adversarial network inputs R Meier, T Holterbach, S Keck, M Stähli, V Lenders, A Singla, L Vanbever Proceedings of the 18th ACM Workshop on Hot Topics in Networks, 34-42, 2019 | 8 | 2019 |
| Detection of malicious remote shell sessions P Dumont, R Meier, D Gugelmann, V Lenders 2019 11th International Conference on Cyber Conflict (CyCon) 900, 1-20, 2019 | 7 | 2019 |
| ditto: WAN Traffic Obfuscation at Line Rate R Meier, V Lenders, L Vanbever NDSS Symposium, 2022 | 4 | 2022 |
| Towards an AI-powered Player in Cyber Defence Exercises R Meier, A Lavrenovs, K Heinäaro, L Gambazzi, V Lenders 2021 13th International Conference on Cyber Conflict (CyCon), 309-326, 2021 | 4 | 2021 |
| General-Purpose Wireless Distance Sensor R Meier Master Thesis. Zurich: ETH Zurich, 2014 | 1 | 2014 |
| Mass surveillance of VoIP calls in the data plane EC Kirci, M Apostolaki, R Meier, A Singla, L Vanbever Proceedings of the Symposium on SDN Research, 33-49, 2022 | | 2022 |
| Improving Network Security through Obfuscation R Meier ETH Zurich, 2022 | | 2022 |
| In-network Anomaly Detection with Programmable Switches L Vanbever, R Meier | | |
| Evaluating and Defeating Network Flow Classifiers Through Adversarial Machine Learning R Meier, L Gambazzi, L Vanbever | | |
| Machine Learning-based Detection of C&C Channels with a Focus on the Locked Shields Cyber Defense Exercise S Battle, T Minárik, S Alatalu, S Biondi, M Signoretti, I Tolga, G Visky | | |
