59 citations · 61 across the 4 of their papers we have counts for
4 papers
Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law
Vibeke Binz Vallevik, Anne Kjersti C. Befring, Severin Elvatun +1
Artificial intelligence (AI) has the potential to transform healthcare, but it requires access to health data. Synthetic data that is generated through machine learning models trai…
Opinion: Revisiting synthetic data classifications from a privacy perspective
Vibeke Binz Vallevik, Serena Elizabeth Marshall, Aleksandar Babic +1
Synthetic data is emerging as a cost-effective solution necessary to meet the increasing data demands of AI development, created either from existing knowledge or derived from real…
Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators
Narasimha Raghavan Veeraragavan, Mohammad Hossein Tabatabaei, Severin Elvatun +3
Synthetic data generation is increasingly recognized as a crucial solution to address data related challenges such as scarcity, bias, and privacy concerns. As synthetic data prolif…
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare
Vibeke Binz Vallevik, Aleksandar Babic, Serena Elizabeth Marshall +7
Ensuring safe adoption of AI tools in healthcare hinges on access to sufficient data for training, testing and validation. In response to privacy concerns and regulatory requiremen…