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Researcher
Kevin De Boeck
- Disciplines:Cryptography, privacy and security
Affiliations
- Distributed and Secure Software (DistriNet) (Division)
Member
From3 Sep 2020 → Today - Numerical Analysis and Applied Mathematics (NUMA) (Division)
Member
From1 Sep 2020 → 2 Sep 2020
Projects
1 - 1 of 1
- Bringing dataset anonymization to practiceFrom16 Dec 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 4 of 4
- A hybrid anonymization pipeline to improve the privacy-utility balance in sensitive datasets for ML purposes(2023)
Authors: Jenno Verdonck, Kevin De Boeck, Michiel Willocx, Jorn Lapon, Vincent Naessens
Number of pages: 24 - Reviewing review platforms: a privacy perspective(2022)
Authors: Kevin De Boeck, Jenno Verdonck, Michiel Willocx, Jorn Lapon, Vincent Naessens
Number of pages: 10 - A clustering approach to anonymize locations during dataset de-identification
Authors: Jenno Verdonck, Kevin De Boeck, Michiel Willocx, Jorn Lapon, Vincent Naessens
Number of pages: 10 - Dataset anonymization with purpose: a resource allocation use case
Authors: Kevin De Boeck, Jenno Verdonck, Michiel Willocx, Jorn Lapon, Vincent Naessens
Pages: 202 - 210