  | KOCYIGIT, E., Rossi, A., SERGEEVA, A., Negri Ribalta, C., FARJAMI, A., & LENZINI, G. (2025). DeceptiLens: An Approach supporting Transparency in Deceptive Pattern Detection based on a Multimodal Large Language Model. In ACMF AccT 2025 - Proceedings of the 2025 ACM Conference on Fairness, Accountability,and Transparency. Association for Computing Machinery, Inc. doi:10.1145/3715275.3732129  Peer reviewed |
  | KOCYIGIT, E., LIGA, D., & LENZINI, G. (2025). Augmenting Dark Patterns Text Data by Leveraging Large Language Models: A Multi-agent Framework and Parameter-Efficient Fine-Tuning. In Y. Mualla (Ed.), Advances in Explainability, Agents, and Large Language Models - 1st International Workshop on Causality, Agents and Large Models, CALM 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-89103-8_5 Peer reviewed |
 | KOCYIGIT, E., Rossi, A., & LENZINI, G. (2024). A Systematic Approach for A Reliable Detection of Deceptive Design Patterns Through Measurable HCI Features. In Proceedings of the 2024 European Symposium on Usable Security, EuroUSEC 2024. Association for Computing Machinery. doi:10.1145/3688459.3688475 Peer reviewed |
 | KOCYIGIT, E., Korkmaz, M., Sahingoz, O. K., & Diri, B. (July 2024). Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection. Applied sciences (Basel, Switzerland), 14 (14), 6081. doi:10.3390/app14146081 Peer reviewed |
 | KOCYIGIT, E., ROSSI, A., & LENZINI, G. (2023). Towards Assessing Features of Dark Patterns in Cookie Consent Processes. In IFIP Advances in Information and Communication Technology. Springer Nature Switzerland. doi:10.1007/978-3-031-31971-6_13 Editorial reviewed |
 | Rossi, A., ARENAS CORREA, M. P., KOCYIGIT, E., & Hani, M. (2022). Challenges of protecting confidentiality in social media data and their ethical import. 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 554-561. doi:10.1109/EuroSPW55150.2022.00066 Peer reviewed |