| Image-based neural network models for malware traffic classification using pcap to picture conversion G Agrafiotis, E Makri, I Flionis, A Lalas, K Votis, D Tzovaras Proceedings of the 17th International Conference on Availability …, 2022 | 8 | 2022 |
| Sancus: Multi-layers vulnerability management framework for cloud-native 5g networks C Zarakovitis, D Klonidis, Z Salazar, A Prudnikova, A Bozorgchenani, Q Ni, ... Proceedings of the 16th International Conference on Availability …, 2021 | 5 | 2021 |
| A Deep Learning-based Malware Traffic Classifier for 5G Networks Employing Protocol-Agnostic and PCAP-to-Embeddings Techniques G Agrafiotis, E Makri, A Lalas, K Votis, D Tzovaras, N Tsampieris Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference …, 2023 | 3 | 2023 |
| Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA G Agrafiotis, E Makri, I Kalamaras, A Lalas, K Votis, D Tzovaras Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | 1 | 2023 |
| Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits E Makri, G Agrafiotis, I Kalamaras, A Lalas, K Votis, D Tzovaras 2022 Data Compression Conference (DCC), Snowbird, UT, USA, IEEE, 470-470, 2022 | | 2022 |
| Deliverable D4. 2 C ULANC, A Bozorgchenani, S Kalafatidis, G Agrafiotis, E Makri, RG K3Y, ... | | 2020 |
