Head of the lab

Dr. Zeki Erkin

Dr. Zeki Erkin is an associate professor in the Cyber Security Group, Delft University of Technology. He received his PhD degree on “Secure Signal Processing” in 2010 from Delft University of Technology where he has continued his research on Privacy Enhancing Technologies, particularly on Computational Privacy.

His interest is in protecting sensitive data from malicious entities and service providers using cryptographic tools. While his interest in solutions based on provably secure cryptographic protocols is the core of his research, Dr Erkin is also investigating distributed trust for building such protocols without trusted entities, e.g. for federated machine learning.

Dr. Erkin has been involved in several European and national projects.  He is also serving in numerous committees including IEEE Information Forensics and Security Technical Commitee as chair and Editor in Chief for Eurasip Journal on Information Security. Dr Erkin is a member of TU Delft Blockchain Lab, also serving as a core member of Cyber Security Next Generation (CSng), a community of cyber security researchers in the Netherlands, ICT Next Generation (ICTng) and PEN.NL (Privacy Engineering Network).


PhD students

Tianyu LiTianyu Li is working on privacy-preserving supply chain services with differential privacy.
Florine W. DekkerFlorine W. Dekker is working on privacy-preserving federated machine learning.
Jelle VosJelle Vos is working on private set operations.
Jorrit van AssenJorrit van Assen is working on privacy-preserving medical data sharing and analysis.


Former PhD students

Dr. Oğuzhan ErsoyDr. Oğuzhan Ersoy, PhD thesis on Incentives and Cryptographic Protocols for Bitcoin-like Blockchains, Sep 2021.
Dr. Chibuike UgwuokeDr. Chibuike Ugwuoke, PhD thesis on  Privacy Threats and Cryptographic Solutions to Genome Data Processing, May 2021.
Dr. Gamze TillemDr. Gamze Tillem, PhD thesis on Preserving Confidentiality in Data Analytics-as-a-Service, 2020.
Dr. Majid NateghizadDr. Majid Nateghizad, PhD thesis on Efficient cryptographic building blocks for processing private measurements in e-healthcare, 2019.


Former Post-doctoral Researchers

  • Ankit Gangwal
  • Aslı Bay
  • Zhijie Ren
  • Mina Sheikhalishahi
  • Sebastiaan de Hoogh


MSc Students

Please click the thesis title to access the thesis on the TU Delft repository.

  1. Jorrit van Assen, Trust the System: Auditing Privacy- preserving Medical Data Analysis in a Distributed Manner, September 2023.
  2. Ivo Kroskinski, Practical Privacy Preserving k-Nearest Neighbour in Outsourced Environments, August 2023.
  3. Andrei Geadău, Cryptpath: Data-oblivious Shortest Path Discovery in Outsourced Settings, July 2023.
  4. Celio Porsius Martins, Private cycle detection in financial transactions, January 2023.
  5. Wim de With, Multi-Vendor Matrix Factorization with Differential Privacy, November 2022.
  6. Marco Palazzo, Privacy-Preserving Data Aggregation with Public Verifiability Against Internal Adversaries, October 2022.
  7. Armin Memar Zahedani, Privacy-Preserving Verifiable Double Auctions: An application for electricity trading, July 2022.
  8. Asli Karahan, Privacy-preserving Cross-Domain Recommender System for Healthcare Applications, July 2022.
  9. Li Xi, A privacy-preserving tamper-evident revocation mechanism for verifiable credentials, June, 2022.
  10. Dieuwer Hondelink,  Linearly Homomorphic Signature Schemes: A Fair Comparison, June 2022.
  11. Roemer Hendrikx, Designing a Privacy-Preserving Rebalancing Algorithm for Payment Channel Networks, Jan 2022.
  12. David Kester,  A Decentralised Key Management System for the European Railway Signalling System, Dec 2021.
  13. Alexandru Băbeanu,  Privacy-preserving cross-device tracking, Nov 2021.
  14. Ásta Magnúsdóttir,  Collective access management: Distributed access control for co-owned resources, Oct 2021.
  15. Jehan da Camara, Bubblechain: An IoT authentication system, June 2021.
  16. Daphne van Tetering, Mitigating Inference Attacks in Collaborative Credit Card Fraud Detection using Secure Multi-Party Selection, June 2021.
  17. Jelle Vos, Minimally-Interactive Protocols for Privacy-Preserving Set and Multiset Operations Between Multiple Parties, June 2021.
  18. Martin Koster, Multi-Functional Privacy-Preserving Data Aggregation: With Malicious User Detection, May 2021.
  19. Dieuwke van der Ende, Collaborative Private Decision-Tree Evaluation using (Multi-Key) Fully Homomorphic Encryption: with applications to Risk-Adaptive Access Control, received the Joop Bautz Information Security Award,  April 2021.
  20. Seu Man To, Privacy-Preserving Electronic Healthcare with Self-Monitoring Devices using Trusted Execution Environments, Nov 2020.
  21. Christian van Bruggen, Forward-looking consistency in Attribute-Based Credentials: A privacy-preserving way to determine the revocation status of credentials after presentation, Nov 2020.
  22. Florine Dekker, Privacy-Preserving Data Aggregation with Probabilistic Range Validation, Oct 2020.
  23. Victor Li, Consecutive Delegatable Signing Rights for the Issuance of Anonymous Attribute-Based Credentials, Sep 2018.
  24. Rasmus Välling, D4: Distributed Direct Digital Democracy: a Remote Electronic Voting Protocol, Oct 2018.
  25. Hari Manikandan, Privacy-Preserving Combinatorial Set Operations for Cyber Threat Intelligence, Aug 2018.
  26. Lars van de Kamp, PRECLUDE: PRivacy-prEserving Collaborative Learning Using a Decentralised Ensemble approach, Aug 2018.
  27. Bjorn van der Laan, Publicly verifiable authenticity of data from multiple external sources for smart contracts using aggregate signatures, July 2018.
  28. Mathijs Hoogland, A Distributed Public Key Infrastructure for the IoT, July 2018.
  29. Mourad El Maouchi, DECOUPLES: A Privacy-Preserving Solution for Traceability in Supply Chains, Jan 2018.
  30. Pieter van der Veeken,  Constructing a Confidential, Authenticated, Forward Secure and Offline Logging Scheme, Jan 2018.
  31. Ginger Geneste, Heartwear Security: A lightweight security protocol for Implantable Medical Devices, Nov 2017.
  32. Prahesa Prahesa Kusuma Setia,  Privacy-Preserving Data Aggregation in Peer-to-Peer Network: A Multiparty Computation Approach, Nov 2017.
  33. Vrooman, Rogier, Enhancing Privacy in Smart Home Ecosystems Using Cryptographic Primitives and a Decentralized Cloud Entity, Oct 2017.
  34. Christian Maulany,  Integrating Self-Monitoring Devices Into the Untrusted Cloud for Healthcare, Sep 2017. 
  35. Leon J. Helsloot, Preserving privacy through cryptography in online behavioural advertising, received the EEMCS Faculty te best master thesis award, Aug 2017.
  36. Kris Shrishak,  Incorporating Leveled Homomorphic Encryption-based Private Information Retrieval in Federated eID Schemes to Enhance User Privacy, May 2016.
  37. Daniel Mast,  A Framework for the Implementation and Comparison of Authenticated Data Structures, 2015.
  38. Henrique Dantas, Vulnerability Analysis of Smart Meters, Aug 2014.
  39. Andrei Manta, Publishing Privacy Sensitive Open Data using an Automated Decision Support System, Dec 2013.
  40. Ilyaz H. Nasrullah,  Hierarchical Query Mechanisms for Searchable Encrypted Databases, 2009.

Also joint supervision of J. Prins, Pim van Doelevoerd, Breus Blaawendraad (Radboud), Haji Akhuntov, Olga Haclikova (UvA), Sjors Hijgenaar, Dirk van Biggelaar and Lakshminarayanan Nandakumar.