| 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 | 23 | 2022 |
| 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 | 8 | 2023 |
| 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 |
| Machine Learning in DeFi: Credit Risk Assessment and Liquidation Prediction G Palaiokrassas, S Scherrers, E Makri, L Tassiulas 2024 IEEE International Conference on Blockchain and Cryptocurrency (ICBC …, 2024 | 1 | 2024 |
| 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 |
| A Protocol Agnostic Polymorphic Network Packet Transformer for 5G Malware Traffic Classification Using Deep Learning Models E Makri, G Agrafiotis, A Lalas, K Votis, D Tzovaras 2024 Joint European Conference on Networks and Communications & 6G Summit …, 2024 | | 2024 |
| 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 |
