Opschaling van veilige verwerking, anonimisering en generatie van gezondheidsgegevens voor grensoverschrijdend gezamenlijk onderzoek en innovatie in de EU KU Leuven
The overall goal of the SECURED project is to scale up multiparty computation, data anonymization and synthetic data generation, by increasing efficiency and improving security, with a focus on private and unbiased artificial intelligence and data analytics, health-related data and data hubs, and cross-border cooperation. The project will address the limitations that are currently preventing the widespread use of secure multiparty computation ...