Implementation of Fast Gradient Sign Adversarial Attack on Vision Transformer Model and Development of Defense Mechanism in Classification of Dermoscopy Images. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (SIU, 2023)

Performance Comparison of Vision Transformer-Based Models in Medical Image Classification. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (SIU, 2023)

Robust Vision Transformer Model Against Adversarial Attacks in Medical Image Classification. - Elif Kanca; Tolgahan Gulsoy; Selen Avas; Elif Baykal Kablan (TSP, 2024)

Detecting audio splicing forgery: A noise-robust approach with Swin Transformer and cochleagram. - Tolgahan Gulsoy; Elif Kanca Gulsoy; Arda Ustubioglu; Beste Ustubioglu; Elif Baykal Kablan; Selen Ayas; Güzin Ulutas; Gul Tahaoglu; Mohamed Elhoseny (J. Inf. Secur. Appl., 2025)

Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (Medical Biol. Eng. Comput., 2025)

Correction to: Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (Medical Biol. Eng. Comput., 2025)

Enhancing the adversarial robustness in medical image classification: exploring adversarial machine learning with vision transformers-based models. - Elif Kanca Gulsoy; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (Neural Comput. Appl., 2025)