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Eftychia Makri
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2020 – today
- 2024
- [c7]Eftychia Makri, Georgios Agrafiotis, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras:
A Protocol Agnostic Polymorphic Network Packet Transformer for 5G Malware Traffic Classification Using Deep Learning Models. EuCNC/6G Summit 2024: 824-829 - [c6]Georgios Palaiokrassas, Sandro Scherrers, Eftychia Makri, Leandros Tassiulas:
Machine Learning in DeFi: Credit Risk Assessment and Liquidation Prediction. ICBC 2024: 650-654 - 2023
- [c5]Georgios Agrafiotis, Eftychia Makri, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras, Nikolaos Tsampieris:
A Deep Learning-based Malware Traffic Classifier for 5G Networks Employing Protocol-Agnostic and PCAP-to-Embeddings Techniques. EICC 2023: 193-194 - [c4]Georgios Agrafiotis, Eftychia Makri, Ilias Kalamaras, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras:
Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA. NLDL 2023 - 2022
- [c3]Georgios Agrafiotis, Eftychia Makri, Ioannis Flionis, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras:
Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion. ARES 2022: 59:1-59:7 - [c2]Eftychia Makri, Georgios Agrafiotis, Ilias Kalamaras, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras:
Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits. DCC 2022: 470 - 2021
- [c1]Charilaos C. Zarakovitis, Dimitrios Klonidis, Zujany Salazar, Anna Prudnikova, Arash Bozorgchenani, Qiang Ni, Charalambos Klitis, George Guirgis, Ana R. Cavalli, Nicholas Sgouros, Eftychia Makri, Antonios Lalas, Konstantinos Votis, George Amponis, Wissam Mallouli:
SANCUS: Multi-layers Vulnerability Management Framework for Cloud-native 5G networks. ARES 2021: 108:1-108:10
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last updated on 2024-10-17 20:33 CEST by the dblp team
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