Thijs Veugen

Full Name: P.J.M. Veugen
Function(s): Researcher - TNO

Email: P.J.M.Veugen@cwi.nl
Telephone: +31 20 592 4051
Room: M266
Department(s): Cryptology

Biography

I'm a senior scientist at TNO, working on applied cryptography. You will find me in the Cryptology group of CWI each Friday. My goal is to show society the beauty of secure multi-party computation, and all the nice applications it has.

Publications

Kamphorst, B, Rooijakkers, T, Veugen, P.J.M, Cellamare, M, & Knoors, D. (2022). Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy. BMC Medical Informatics and Decision Making, 22(1), 49.1–49.18. doi:10.1186/s12911-022-01771-3
Veugen, P.J.M. (2022). Lightweight secure integer comparison. Mathematics, 10(3), 305.1–305.18. doi:10.3390/math10030305
van Egmond, M.B, Spini, G, van der Galiën, O, IJpma, A, Veugen, P.J.M, Kraaij, W, … Kooij-Janic, M. (2021). Privacy-preserving dataset combination and Lasso regression for healthcare predictions. BMC Medical Informatics and Decision Making, 21, 266‐1–266‐16. doi:10.1186/s12911-021-01582-y
Veugen, P.J.M, Kamphorst, B, van de L’Isle, N, & van Egmond, M.B. (2021). Privacy-preserving coupling of vertically-partitioned databases and subsequent training with gradient descent. In Cyber Security Cryptography and Machine Learning (pp. 38–51). doi:10.1007/978-3-030-78086-9_3
Veugen, P.J.M. (2020). Efficient coding for secure computing with additively-homomorphic encrypted data. International Journal of Applied Cryptography, 4(1), 1–15. doi:10.1504/IJACT.2020.107160
Spini, G, van Heesch, M, Veugen, P.J.M, & Chatterjea, S. (2019). Private hospital workflow optimization via secure k-means clustering. Journal of Medical Systems, 44(1). doi:10.1007/s10916-019-1473-4
Sangers, A, van Heesch, M, Attema, T, Veugen, P.J.M, Wiggerman, M, Veldsink, J, … Worm, D.T.H. (2019). Secure multiparty PageRank algorithm for collaborative fraud detection. In Proceedings of International Conference on Financial Cryptography and Data Security (pp. 605–623). doi:10.1007/978-3-030-32101-7_35
de Ridder, F, Neumann, N.M.P, Veugen, P.J.M, & Kooij, R.E. (2019). A quantum algorithm for minimising the effective graph resistance upon edge addition. In Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (pp. 63–73). doi:10.1007/978-3-030-14082-3_6
Nateghizad, M, Veugen, P.J.M, Erkin, Z, & Lagendijk, R.L. (2018). Secure equality testing protocols in the two-party setting. In ARES 2018: International Conference on Availability, Reliability and Security. doi:10.1145/3230833.3230866
Veeningen, M, Chatterjea, S, Horváth, A.Z, Spindler, G, Boersma, E, van der Spek, P, … Veugen, P.J.M. (2018). Enabling analytics on sensitive medical data with secure multi-party computation. In Studies in Health Technology and Informatics (pp. 76–80). doi:10.3233/978-1-61499-852-5-76