An Ensemble Approach to Time Dependent Classification. - Florian Van Daalen; Evgueni N. Smirnov; Nasser Davarzani; Ralf Peeters; Joël M. H. Karel; Hans-Peter Brunner-La Rocca (ICMLA, 2018)

Privacy preserving n-party scalar product protocol. - Florian Van Daalen; Iñigo Bermejo; Lianne Ippel; Andre Dekker (CoRR, 2021)

VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values. - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (CoRR, 2022)

Federated Bayesian Network Ensembles. - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (FMEC, 2023)

Privacy Preserving $n$n-Party Scalar Product Protocol. - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (IEEE Trans. Parallel Distributed Syst., 2023)

A Response to: A Note on "Privacy Preserving n-Party Scalar Product Protocol". - Florian Van Daalen; Lianne Ippel; Andre Dekker; Iñigo Bermejo (CoRR, 2024)

A critique of current approaches to privacy in machine learning. - Florian Van Daalen; Marine Jacquemin; Johan van Soest; Nina Stahl; David Townend; Andre Dekker; Iñigo Bermejo (Ethics Inf. Technol., 2025)