ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies. - Seyma Selcan Magara; Ceren Yildirim; Ferhat Yaman; Berke Dilekoglu; Furkan Reha Tutas; Erdinç Öztürk; Kamer Kaya; Öznur Tastan; Erkay Savas (CoRR, 2021)

Privacy Preserving Data Imputation via Multi-Party Computation for Medical Applications. - Julia Jentsch; Ali Burak Ünal; Seyma Selcan Magara; Mete Akgün (HealthCom, 2024)

Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach. - Seyma Selcan Magara; Noah Dietrich; Ali Burak Ünal; Mete Akgün (CoRR, 2024)

Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models. - Baris Balaban; Seyma Selcan Magara; Caglar Yilgor; Altug Yucekul; Ibrahim Obeid; Javier Pizones; Frank Kleinstueck; Francisco Javier Sanchez Perez-Grueso; Ferran Pellisé; Ahmet Alanay; Erkay Savas; Çetin Bagci; et al. (IEEE Access, 2025)

Secure and Efficient Logistic Regression With Secret-Sharing MPC and Differential Privacy. - Seyma Selcan Magara; Ipek Motorcu; Emin Sahin Mektepli; Cem Ata Baykara; Ali Burak Ünal; Mete Akgün (IEEE Access, 2025)