Florine W. Dekker, Z. Erkin, M. Conti (2025), Optimal Graph Stretching for Distributed Averaging.

Florine W. Dekker, Z. Erkin, M. Conti (2025), Topology-Based Reconstruction Prevention for Decentralised Learning, Rob Jansen, Zubair Shafiq (Eds.), In Proceedings on Privacy Enhancing Technologies p. 553–566.

Jorrit Van Assen, Roland Kromes, Zekeriya Erkin (2024), Auditable Medical Data Sharing through Recoverable Key Agreement, Nazih Salhab (Eds.), In 2024 6th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2024, IEEE.

C. Guan, J. S. van Assen, Z. Erkin (2024), Collective Threshold Multiparty Private Set Intersection Protocols for Cyber Threat Intelligence, In Proceedings - 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, IEEE.

Alin Petru-Rosu, Tamara Tataru, Jegor Zelenjak, Roland Kromes, Zekeriya Erkin (2024), Demo - MedTech Chain: Decentralised, Secure and Privacy-preserving Platform for Medical Device Data Research^∗, In Proceedings - 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, IEEE.

R.G. Kromes, T. Li, Maxime Bouillion, Talha Enes Güler, Victor van der Hulst, Z. Erkin (2024), Fear of Missing Out: Constrained Trial of Blockchain in Supply Chain, In Sensors Volume 24.

Alin Petru-Rosu, Tamara Tataru, Jegor Zelenjak, Roland Kromes, Zekeriya Erkin (2024), MedTech Chain: Decentralised, Secure and Privacy-preserving Platform for Medical Device Data Research, Nazih Salhab (Eds.), In 2024 6th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2024, IEEE.

Alin Petru-Rosu, Tamara Tataru, Jegor Zelenjak, Roland Kromes, Zekeriya Erkin (2024), MedTech Chain Demo: Decentralised, Secure and Privacy-preserving Platform for Medical Device Data Research, Nazih Salhab (Eds.), In 2024 6th Conference on Blockchain Research and Applications for Innovative Networks and Services, BRAINS 2024, IEEE.

Jelle Vos, Mauro Conti, Zekeriya Erkin (2024), Oraqle: A Depth-Aware Secure Computation Compiler, In WAHC '24 p.43-50, ACM.

Marco Palazzo, Florine W. Dekker, Alessandro Brighente, Mauro Conti, Zekeriya Erkin (2024), Privacy-Preserving Data Aggregation with Public Verifiability Against Internal Adversaries, In Proceedings of the 33rd USENIX Security Symposium p.6957-6974, USENIX Association.