Journals

1. P. Kiriakidis, E. Kafali, G. Rizos, A. Voulgaridis, T. Semertzidis, S. Gazut, P. Daras, K. Votis, "Building a Use Case-Driven Adversarial Threat Matrix: A Comprehensive Approach.", 2024 IEEE International Conference on Cyber Security and Resilience (CSR), London, United Kingdom, 2024, pp. 587-592. DOI: 10.1109/CSR61664.2024.10679406

Conference

1. E. Kafali, T. Semertzidis, P. Daras, "Delayed Adversarial Training with Non-Sequential Adversarial Epochs", in IEEE International Conference on Tools with Artificial Intelligence, November 1-3, 2021.
2. E. Kafali, N. Vretos, T. Semertzidis, P. Daras, "RobusterNet: Improving Copy-Move Forgery Detection with Volterra-based Convolutions",in International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. DOI: https://doi.org/10.1109/ICPR48806.2021.9412587

Books Chapters

1. E. Kafali, K. Zafirouli, K. Karageorgos, T. Semertzidis, P. Daras, "Cyber-physical Adversarial Attacks and Countermeasures for Deep Learning Vision Systems on Critical Infrastructures", Cyber-Physical Threat Intelligence for Critical Infrastructures Security: Securing Critical Infrastructures in Air Transport, Water, Gas, Healthcare, Finance and Industry, edited by J. Soldatos, I. Praca, A. Jovanovic, Boston-Delft: now publishers, 2021. DOI: https://dx.doi.org/10.1561/9781680838237