Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks. - Joze M. Rozanec; Dimitrios Papamartzivanos; Entso Veliou; Theodora Anastasiou; Jelle Keizer; Blaz Fortuna; Dunja Mladenic (CoRR, 2022)

Towards Robustifying Image Classifiers against the Perils of Adversarial Attacks on Artificial Intelligence Systems. - Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Georgia Tsirigotaki; Jelle Keizer (Sensors, 2022)

Privacy-preserving Data Federation for Trainable, Queryable and Actionable Data. - Stavroula Iatropoulou; Theodora Anastasiou; Sophia Karagiorgou; Petros Petrou; Dimitrios Alexandrou; Thanassis D. Bouras (ICDEW, 2023)

Adversarial Explanations for Informed Civilian and Environmental Protection. - Theodora Anastasiou; Ioannis Pastellas; Sophia Karagiorgou (IEEE Big Data, 2024)

On Learning with Confidentiality through Encrypted AI Pipelines. - Theodora Anastasiou; Stavroula Iatropoulou; Sophia Karagiorgou (CSR, 2025)