Machine learning approaches for drug combination therapies. - Betül Güvenç Paltun; Samuel Kaski; Hiroshi Mamitsuka (Briefings Bioinform., 2021)

Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches. - Betül Güvenç Paltun; Hiroshi Mamitsuka; Samuel Kaski (Briefings Bioinform., 2021)

DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction. - Betül Güvenç Paltun; Samuel Kaski; Hiroshi Mamitsuka (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Introspective Intrusion Detection System Through Explainable AI. - Betül Güvenç Paltun; Ramin Fuladi (CSNet, 2024)

FASIL: A challenge-based framework for secure and privacy-preserving federated learning. - Ferhat Karakoç; Betül Güvenç Paltun; Leyli Karaçay; Ömer Faruk Tuna; Ramin Fuladi; Utku Gülen (IACR Cryptol. ePrint Arch., 2024)

Robust Intrusion Detection System with Explainable Artificial Intelligence. - Betül Güvenç Paltun; Ramin Fuladi; Rim El Malki (EuCNC/6G Summit, 2025)

Security, Privacy, and Resilience Controls for the 6G End-to-End System Developed in Hexa-X-II. - Pawani Porambage; Noelia Pérez Palma; Diego Lopez; Antonio Pastor 001; Bin Han 004; Betül Güvenç Paltun; Ferhat Karakoç; Prajnamaya Dass; Stefan Köpsell; Sonika Ujjwal; Philipp Schulz; Anton Schösser; et al. (EuCNC/6G Summit, 2025)