A Novel and Interactive Industrial Control System Honeypot for Critical Smart Grid Infrastructure. - Dimitrios Pliatsios; Panagiotis G. Sarigiannidis; Thanasis Liatifis; Konstantinos Rompolos; Ilias Siniosoglou (CAMAD, 2019)

NeuralPot: An Industrial Honeypot Implementation Based On Deep Neural Networks. - Ilias Siniosoglou; Georgios Efstathopoulos; Dimitrios Pliatsios; Ioannis D. Moscholios; Antonios Sarigiannidis; Georgia Sakellari; Georgios Loukas; Panagiotis G. Sarigiannidis (ISCC, 2020)

Implementation and Detection of Modbus Cyberattacks. - Panagiotis I. Radoglou-Grammatikis; Ilias Siniosoglou; Thanasis Liatifis; Anastasios Kourouniadis; Konstantinos Rompolos; Panagiotis G. Sarigiannidis (MOCAST, 2020)

Unsupervised Ethical Equity Evaluation of Adversarial Federated Networks. - Ilias Siniosoglou; Vasileios Argyriou; Stamatia Bibi; Thomas Lagkas; Panagiotis G. Sarigiannidis (ARES, 2021)

Synthetic Traffic Signs Dataset for Traffic Sign Detection & Recognition In Distributed Smart Systems. - Ilias Siniosoglou; Panagiotis G. Sarigiannidis; Yannis Spyridis; Anish Khadka; Georgios Efstathopoulos; Thomas Lagkas (DCOSS, 2021)

Covert Distributed Training of Deep Federated Industrial Honeypots. - Ilias Siniosoglou; Vasileios Argyriou; Thomas Lagkas; Apostolos Tsiakalos; Antonios Sarigiannidis; Panagiotis G. Sarigiannidis (GLOBECOM (Workshops), 2021)

Federated Intrusion Detection In NG-IoT Healthcare Systems: An Adversarial Approach. - Ilias Siniosoglou; Panagiotis G. Sarigiannidis; Vasilis Argyriou; Thomas Lagkas; Sotirios K. Goudos; María Poveda 002 (ICC, 2021)

A Unified Deep Learning Anomaly Detection and Classification Approach for Smart Grid Environments. - Ilias Siniosoglou; Panagiotis I. Radoglou-Grammatikis; Georgios Efstathopoulos; Panagiotis E. Fouliras; Panagiotis G. Sarigiannidis (IEEE Trans. Netw. Serv. Manag., 2021)

Unsupervised Bias Evaluation of DNNs in non-IID Federated Learning Through Latent micro-Manifolds. - Ilias Siniosoglou; Vasileios Argyriou; Thomas Lagkas; Ioannis D. Moscholios; George F. Fragulis; Panagiotis G. Sarigiannidis (INFOCOM Workshops, 2022)

A Robust Deep Learning Architecture for FireFighter PPEs Detection. - Achilleas Sesis; Ilias Siniosoglou; Yannis Spyridis; Georgios Efstathopoulos; Thomas Lagkas; Vasileios Argyriou; Panagiotis G. Sarigiannidis (WF-IoT, 2022)

Cherry Tree Disease Detection Dataset. - Christos Chaschatzis; Ilias Siniosoglou; Anna Triantafyllou; Chrysoula Karaiskou; Athanasios Liatifis; Panagiotis I. Radoglou-Grammatikis; Dimitrios Pliatsios; Vasiliki Kelli; Thomas Lagkas; Vasileios Argyriou; Panayiotis Sarigiannidis (IEEE DataPort, 2022)

Peach Tree Disease Detection Dataset. - Christos Chaschatzis; Ilias Siniosoglou; Anna Triantafyllou; Chrysoula Karaiskou; Athanasios Liatifis; Panagiotis I. Radoglou-Grammatikis; Dimitrios Pliatsios; Vasiliki Kelli; Thomas Lagkas; Vasileios Argyriou; Panayiotis Sarigiannidis (IEEE DataPort, 2022)

ELECTRON: An Architectural Framework for Securing the Smart Electrical Grid with Federated Detection, Dynamic Risk Assessment and Self-Healing. - Panagiotis I. Radoglou-Grammatikis; Athanasios Liatifis; Christos Dalamagkas; Alexios Lekidis; Konstantinos Voulgaridis; Thomas Lagkas; Nikolaos Fotos; Sofia-Anna Menesidou; Thomas Krousarlis; Pedro Ruzafa Alcazar; Juan Francisco Martinez; Antonio F. Skarmeta; et al. (ARES, 2023)

Personalisation of Federated Learning Models Through Knowledge Distillation on Decentralised Data. - Ilias Siniosoglou; Konstantinos Xouveroudis; Vasileios Argyriou; Thomas Lagkas; Theocharis Saoulidis; George F. Fragulis; Sotirios K. Goudos; Panagiotis G. Sarigiannidis (GLOBECOM (Workshops), 2023)

Applying Federated Learning on Decentralized Smart Farming: A Case Study. - Ilias Siniosoglou; Konstantinos Xouveroudis; Vasileios Argyriou; Thomas Lagkas; Dimitrios Margounakis; Alexandros-Apostolos A. Boulogeorgos; Panagiotis G. Sarigiannidis (ICC Workshops, 2023)

Evaluating the Effect of Volatile Federated Timeseries on Modern DNNs: Attention over Long/Short Memory. - Ilias Siniosoglou; Konstantinos Xouveroudis; Vasileios Argyriou; Thomas Lagkas; Sotirios K. Goudos; Konstantinos E. Psannis; Panagiotis G. Sarigiannidis (MOCAST, 2023)

Post-Processing Fairness Evaluation of Federated Models: An Unsupervised Approach in Healthcare. - Ilias Siniosoglou; Vasileios Argyriou; Panagiotis G. Sarigiannidis; Thomas Lagkas; Antonios Sarigiannidis; Sotirios K. Goudos; Shaohua Wan 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Dairy Supply Chain Sales Dataset. - Dimitris Iatropoulos; Konstantinos Georgakidis; Ilias Siniosoglou; Christos Chaschatzis; Anna Triantafyllou; Athanasios Liatifis; Dimitrios Pliatsios; Thomas Lagkas; Vasileios Argyriou; Panagiotis G. Sarigiannidis (IEEE DataPort, 2023)

Virtual Reality Gesture Recognition Dataset. - Dag Eklund; Ilias Siniosoglou; Anna Triantafyllou; Athanasios Liatifis; Dimitrios Pliatsios; Thomas Lagkas; Vasileios Argyriou; Panagiotis G. Sarigiannidis (IEEE DataPort, 2023)

Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting. - Georgios Tsoumplekas; Ilias Siniosoglou; Vasileios Argyriou; Ioannis D. Moscholios; Panagiotis G. Sarigiannidis (AIiH (2), 2024)

Benchmarking Advanced Text Anonymisation Methods: A Comparative Study on Novel and Traditional Approaches. - Dimitrios Christos Asimopoulos; Ilias Siniosoglou; Vasileios Argyriou; Thomai Karamitsou; Eleftherios Fountoukidis; Sotirios K. Goudos; Ioannis D. Moscholios; Konstantinos E. Psannis; Panagiotis G. Sarigiannidis (MOCAST, 2024)

A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection. - Vladislav Li; Georgios Tsoumplekas; Ilias Siniosoglou; Vasileios Argyriou; Anastasios Lytos; Eleftherios Fountoukidis; Panagiotis G. Sarigiannidis (SIES, 2024)

Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings. - Georgios Tsoumplekas; Vladislav Li; Ilias Siniosoglou; Vasileios Argyriou; Sotirios K. Goudos; Ioannis D. Moscholios; Panagiotis I. Radoglou-Grammatikis; Panagiotis G. Sarigiannidis (CoRR, 2024)

Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study. - Dimitrios Christos Asimopoulos; Ilias Siniosoglou; Vasileios Argyriou; Sotirios K. Goudos; Konstantinos E. Psannis; Nikoleta Karditsioti; Theocharis Saoulidis; Panagiotis G. Sarigiannidis (CoRR, 2024)

CloudCap (C2app) : A Cloud-Based Platform for Packet Analysis On The Edge. - Kyriazis Kokkinos; Ioannis Polymenidis; Ilias Siniosoglou; Athanasios Liatifis; Panagiotis G. Sarigiannidis (CoRR, 2024)

Applied Federated Model Personalisation in the Industrial Domain: A Comparative Study. - Ilias Siniosoglou; Vasileios Argyriou; George F. Fragulis; Panagiotis E. Fouliras; Georgios Th. Papadopoulos; Anastasios Lytos; Panagiotis G. Sarigiannidis (CoRR, 2024)

Resource Efficient Federated LoRaWAN Architecture for Far-Edge IoT Applications. - Anna Triantafyllou; Ilias Siniosoglou; Vasileios Argyriou; Sotirios K. Goudos; Georgios Th. Papadopoulos; Konstantinos Panitsidis; Panagiotis G. Sarigiannidis (IEEE Access, 2025)

Enhancing 3D object detection in autonomous vehicles based on synthetic virtual environment analysis. - Vladislav Li; Ilias Siniosoglou; Thomai Karamitsou; Anastasios Lytos; Ioannis D. Moscholios; Sotirios K. Goudos; Jyoti S. Banerjee; Panagiotis G. Sarigiannidis; Vasileios Argyriou (Image Vis. Comput., 2025)

Is it worth the energy? An in-depth study on the energy efficiency of data augmentation strategies for finetuning-based low/few-shot object detection. - Vladislav Li; Georgios Tsoumplekas; Ilias Siniosoglou; Panagiotis G. Sarigiannidis; Vasileios Argyriou (J. Syst. Archit., 2025)

Applied Federated Model Personalization in the Industrial Domain: A Comparative Study. - Ilias Siniosoglou; Vasileios Argyriou; George F. Fragulis; Panagiotis E. Fouliras; Georgios Th. Papadopoulos; Anastasios Lytos; Panagiotis G. Sarigiannidis (IEEE Open J. Commun. Soc., 2025)

Enhancing Manufacturing Training Through VR Simulations. - Vladislav Li; Ilias Siniosoglou; Panagiotis G. Sarigiannidis; Vasileios Argyriou (CoRR, 2025)