A unified deep learning anomaly detection and classification approach for smart grid environments I Siniosoglou, P Radoglou-Grammatikis, G Efstathopoulos, P Fouliras, ... IEEE Transactions on Network and Service Management 18 (2), 1137-1151, 2021 | 117 | 2021 |
A novel and interactive industrial control system honeypot for critical smart grid infrastructure D Pliatsios, P Sarigiannidis, T Liatifis, K Rompolos, I Siniosoglou 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design …, 2019 | 39 | 2019 |
Implementation and detection of modbus cyberattacks P Radoglou-Grammatikis, I Siniosoglou, T Liatifis, A Kourouniadis, ... 2020 9th International Conference on Modern Circuits and Systems …, 2020 | 30 | 2020 |
Federated intrusion detection in NG-IoT healthcare systems: An adversarial approach I Siniosoglou, P Sarigiannidis, V Argyriou, T Lagkas, SK Goudos, ... ICC 2021-IEEE international conference on communications, 1-6, 2021 | 21 | 2021 |
NeuralPot: An industrial honeypot implementation based on deep neural networks I Siniosoglou, G Efstathopoulos, D Pliatsios, ID Moscholios, ... 2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020 | 19 | 2020 |
Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In Distributed Smart Systems I Siniosoglou, P Sarigiannidis, Y Spyridis, A Khadka, G Efstathopoulos, ... 2021 17th International Conference on Distributed Computing in Sensor …, 2021 | 13 | 2021 |
Unsupervised ethical equity evaluation of adversarial federated networks I Siniosoglou, V Argyriou, S Bibi, T Lagkas, P Sarigiannidis Proceedings of the 16th International Conference on Availability …, 2021 | 7 | 2021 |
Post-processing fairness evaluation of federated models: An unsupervised approach in healthcare I Siniosoglou, V Argyriou, P Sarigiannidis, T Lagkas, A Sarigiannidis, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023 | 5 | 2023 |
ELECTRON: An Architectural Framework for Securing the Smart Electrical Grid with Federated Detection, Dynamic Risk Assessment and Self-Healing P Radoglou-Grammatikis, A Liatifis, C Dalamagkas, A Lekidis, ... Proceedings of the 18th International Conference on Availability …, 2023 | 3 | 2023 |
Unsupervised Bias Evaluation of DNNs in non-IID Federated Learning Through Latent micro-Manifolds I Siniosoglou, V Argyriou, T Lagkas, I Moscholios, G Fragulis, ... IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 3 | 2022 |
Covert distributed training of deep federated industrial honeypots I Siniosoglou, V Argyriou, T Lagkas, A Tsiakalos, A Sarigiannidis, ... 2021 IEEE Globecom Workshops (GC Wkshps), 1-6, 2021 | 3 | 2021 |
Evaluating the effect of volatile federated timeseries on modern DNNs: attention over long/short memory I Siniosoglou, K Xouveroudis, V Argyriou, T Lagkas, SK Goudos, ... 2023 12th International Conference on Modern Circuits and Systems …, 2023 | 2 | 2023 |
Applying Federated Learning on Decentralized Smart Farming: A Case Study I Siniosoglou, K Xouveroudis, V Argyriou, T Lagkas, D Margounakis, ... 2023 IEEE International Conference on Communications Workshops (ICC …, 2023 | 1 | 2023 |
A Robust Deep Learning Architecture for FireFighter PPEs Detection A Sesis, I Siniosoglou, Y Spyridis, G Efstathopoulos, T Lagkas, V Argyriou, ... 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), 1-6, 2022 | 1 | 2022 |
Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study D Asimopoulos, I Siniosoglou, V Argyriou, SK Goudos, KE Psannis, ... arXiv preprint arXiv:2405.06709, 2024 | | 2024 |
Benchmarking Advanced Text Anonymisation Methods: A Comparative Study on Novel and Traditional Approaches D Asimopoulos, I Siniosoglou, V Argyriou, T Karamitsou, E Fountoukidis, ... arXiv preprint arXiv:2404.14465, 2024 | | 2024 |
Enhancing Text Anonymisation: A Study on CRF, LSTM, and ELMo for Advanced Entity Recognition I Siniosoglou, D Asimopoulos, V Argyriou, T Lagkas, A Lytos, ... 2024 Panhellenic Conference on Electronics & Telecommunications (PACET), 1-6, 2024 | | 2024 |
Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings G Tsoumplekas, V Li, I Siniosoglou, V Argyriou, SK Goudos, ... arXiv preprint arXiv:2403.06631, 2024 | | 2024 |
Cherry Tree Crown Extraction Using Machine Learning Based on Images from UAVs V Moysiadis, I Siniosoglou, G Kokkonis, V Argyriou, T Lagkas, SK Goudos, ... Agriculture 14 (2), 322, 2024 | | 2024 |
Personalisation of Federated Learning Models Through Knowledge Distillation on Decentralised Data I SiniosoGlou, K Xouveroudis, V Argyriou, T Lagkas, T Saoulidis, ... 2023 IEEE Globecom Workshops (GC Wkshps), 56-61, 2023 | | 2023 |