Asli Bay, Zekeriya Erkin, Jaap Henk Hoepman, Simona Samardjiska, Jelle Vos (2022), Practical Multi-Party Private Set Intersection Protocols, In IEEE Transactions on Information Forensics and Security Volume 17 p.1-15.

Tianyu Li, Zekeriya Erkin, Reginald L. Lagendijk (2022), Privacy-Preserving Bin-Packing With Differential Privacy, In IEEE Open Journal of Signal Processing Volume 3 p.94-106.

Quinten Stokkink, Can Umut Ileri, Johan Pouwelse (2022), Reputation-Based Data Carrying for Web3 Networks, Sharief Oteafy, Eyuphan Bulut, Florian Tschorsch (Eds.), In Proceedings of the 47th IEEE Conference on Local Computer Networks, LCN 2022 p.283-286, IEEE.

Azade Rezaeezade, Guilherme Perin, Stjepan Picek (2022), To Overfit, or Not to Overfit: Improving the Performance of Deep Learning-Based SCA, Lejla Batina, Joan Daemen (Eds.), In Progress in Cryptology - AFRICACRYPT 2022 - 13th International Conference on Cryptology in Africa, AFRICACRYPT 2022, Proceedings p.397-421, Springer.

Ayman Esmat, Martijn de Vos, Yashar Ghiassi-Farrokhfal, Peter Palensky, Dick Epema (2021), A novel decentralized platform for peer-to-peer energy trading market with blockchain technology, In Applied Energy Volume 282 p.1-16.

Lukas Aumayr, Matteo Maffei, Oğuzhan Ersoy, Andreas Erwig, Sebastian Faust, Siavash Riahi, Kristina Hostáková, Pedro Moreno-Sanchez (2021), Bitcoin-compatible virtual channels, L. O'Conner (Eds.), In 2021 IEEE Symposium on Security and Privacy (SP) p.901-918, IEEE.

Jelle Vos, Zekeriya Erkin, Christian Dörr (2021), Compare Before You Buy: Privacy-Preserving Selection of Threat Intelligence Providers, In 2021 IEEE International Workshop on Information Forensics and Security, WIFS 2021 p.44-49, IEEE.

Martijn de Vos, Johan Pouwelse (2021), ConTrib: Maintaining fairness in decentralized big tech alternatives by accounting work, In Computer Networks Volume 192.

M.A. de Vos (2021), Decentralization and Disintermediation in Blockchain-based Marketplaces, PhD Thesis Delft University of Technology.

Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning (2021), Distributed additive encryption and quantization for privacy preserving federated deep learning, In Neurocomputing Volume 463 p.309-327.