| 2025 | AINA | Investigating the Transferability and Robustness of Adversarial Attacks Between Standard and Dilated CNN Architectures. | Sachin Sharma, Jiho Noh, Michail S. Alexiou |
| 2025 | BIBE | Brain Tumor Classifiers Under Attack: Robustness of ResNet Variants Against Transferable FGSM and PGD Attacks. | Ryan Deem, Garrett Goodman, Waqas Majeed, Md Abdullah Al Hafiz Khan, Michail S. Alexiou |
| 2025 | ICTAI | Iteration, Mother of Transferability: A Study of Black-Box Iterative Adversarial Attacks Across CNNs and Vision Transformers. | Michail S. Alexiou, Sachin Sharma, Matthew S. Mickelson, J. Sukarno Mertoguno |
| 2025 | ICTAI | Exploration of Few-Shot Learning with the Constrained State-Preserved Extreme Learning Machine. | Tyson Dancy, Michail S. Alexiou, Garrett Goodman |
| 2024 | ICTAI | Recognizing Binary Code Semantics Towards Achieving Software Segmentation. | Michail S. Alexiou, Zeezoo Ryu, Grace Abawe, J. Sukarno Mertoguno |
| 2024 | ICTAI | Rapid Autonomy Transfer in Reinforcement Learning with a Single Pre- Trained Critic. | Muhammad Faraz Karim, Yunjie Deng, Luyao Niu, Bhaskar Ramasubramanian, Michail S. Alexiou, Dinuka Sahabandu, Radha Poovendran, J. Sukarno Mertoguno |
| 2023 | ICTAI | A Survey on Recent Advancements in Lightweight Generative Adversarial Networks, their Applications and Datasets. | Michail S. Alexiou, J. Sukarno Mertoguno |
| 2023 | ICTAI | An Evaluation of Table Detection Methods in Document Images. | Michail S. Alexiou, Euripides G. M. Petrakis, Nikolaos G. Bourbakis |
| 2021 | ICTAI | An Evaluation of Methods on Detecting, Recognizing and Understanding Graphics Images in Technical Documents. | Michail S. Alexiou, Nikolaos G. Bourbakis |
| 2020 | AINA | Elixir: An Agent for Supporting Elasticity in Docker Swarm. | Michail S. Alexiou, Euripides G. M. Petrakis |
| 2020 | ICTAI | Automatic Deep Understanding of Tables in Technical Documents. | Michail S. Alexiou, Nikolaos G. Bourbakis |