A clustering approach to anonymize locations during dataset de-identification. - Jenno Verdonck; Kevin De Boeck; Michiel Willocx; Jorn Lapon; Vincent Naessens (ARES, 2021)

Dataset Anonymization with Purpose: A Resource Allocation Use Case. - Kevin De Boeck; Jenno Verdonck; Michiel Willocx; Jorn Lapon; Vincent Naessens (ISCSIC, 2021)

Reviewing review platforms: a privacy perspective. - Kevin De Boeck; Jenno Verdonck; Michiel Willocx; Jorn Lapon; Vincent Naessens (ARES, 2022)

A hybrid anonymization pipeline to improve the privacy-utility balance in sensitive datasets for ML purposes. - Jenno Verdonck; Kevin De Boeck; Michiel Willocx; Jorn Lapon; Vincent Naessens (ARES, 2023)

Compromising anonymity in identity-reserved k-anonymous datasets through aggregate knowledge. - Kevin De Boeck; Jenno Verdonck; Michiel Willocx; Jorn Lapon; Vincent Naessens (ARES, 2024)

Advanced methods for generalizing time and duration during dataset anonymization. - Jenno Verdonck; Kevin De Boeck; Michiel Willocx; Vincent Naessens (ARES, 2024)

Advanced Strategies for Privacy Preserving Data Publishing to Improve Multi-class Classification. - Tibo Laperre; Jenno Verdonck; Kevin De Boeck; Michiel Willocx; Vincent Naessens (SEC (1), 2025)