Privacy Risk Assessment for Synthetic Longitudinal Health Data
Challenges encountered during their implementation and during the interpretation of their results are highlighted, and it is concluded that privacy risk assessment for synthetic data remains an open problem.
Authors
- Lisa Kühnel (ORCID: https://orcid.org/0000-0002-6356-6760)
- Tim Adams (ORCID: https://orcid.org/0000-0002-2823-0102)
- Ines Perrar (ORCID: https://orcid.org/0000-0002-2830-6322)
- Fabian Praßer (ORCID: https://orcid.org/0000-0003-3172-3095)
- Ute Nöthlings (ORCID: https://orcid.org/0000-0002-5789-2252)
- Thierry Meurers (ORCID: https://orcid.org/0000-0001-8168-7067)
- Holger Fröhlich (ORCID: https://orcid.org/0000-0002-5328-1243)
- Julian Schneider (ORCID: https://orcid.org/0000-0002-3322-8672)
- Juliane Fluck (ORCID: https://orcid.org/0000-0003-1379-7023)
- Karen Otte
- Marvin Walter
Institutions
- University of Bonn (DE)
- Bielefeld University (DE)
- Fraunhofer Institute for Algorithms and Scientific Computing (DE)
- ZB MED - Information Centre for Life Sciences (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2024-08-30
- DOI
- https://doi.org/10.3233/shti240867
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00