Secure Multi-Party Computation for Magnetic Resonance Imaging Classification. - Oleksandr Lytvyn; Giang T. Nguyen 001 (ANT/EDI40, 2023)

Efficiency and Security Trade-offs of Secure Multi-Party Computation for Machine Learning. - Oleksandr Lytvyn; Giang T. Nguyen 001 (KES, 2023)

Optimal Differential Privacy for Deep Learning Model Training. - Hlib Kokin; Oleksandr Lytvyn; Giang T. Nguyen 001 (KES, 2024)

Secure Federated Learning for Multi-Party Network Monitoring. - Oleksandr Lytvyn; Giang T. Nguyen 001 (IEEE Access, 2024)

Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools. - Giang Thu Nguyen; Judith Sáinz-Pardo Díaz; Amanda Calatrava; Lisana Berberi; Oleksandr Lytvyn; Valentin Kozlov; Viet D. Tran; Germán Moltó; Álvaro López García (Artif. Intell. Rev., 2025)