SANCUS: Multi-layers Vulnerability Management Framework for Cloud-native 5G networks. - 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; et al. (ARES, 2021)

Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion. - Georgios Agrafiotis; Eftychia Makri; Ioannis Flionis; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (ARES, 2022)

Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits. - Eftychia Makri; Georgios Agrafiotis; Ilias Kalamaras; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (DCC, 2022)

A Deep Learning-based Malware Traffic Classifier for 5G Networks Employing Protocol-Agnostic and PCAP-to-Embeddings Techniques. - Georgios Agrafiotis; Eftychia Makri; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras; Nikolaos Tsampieris (EICC, 2023)

Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA. - Georgios Agrafiotis; Eftychia Makri; Ilias Kalamaras; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (NLDL, 2023)

A Protocol Agnostic Polymorphic Network Packet Transformer for 5G Malware Traffic Classification Using Deep Learning Models. - Eftychia Makri; Georgios Agrafiotis; Antonios Lalas; Konstantinos Votis; Dimitrios Tzovaras (EuCNC/6G Summit, 2024)

Machine Learning in DeFi: Credit Risk Assessment and Liquidation Prediction. - Georgios Palaiokrassas; Sandro Scherrers; Eftychia Makri; Leandros Tassiulas (ICBC, 2024)

Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting. - Eftychia Makri; Georgios Palaiokrassas; Sarah Bouraga; Antigoni Polychroniadou; Leandros Tassiulas (CoRR, 2025)