Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance
<|reference_start|>Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance: In this paper, we argue that similarity-based privacy metrics cannot ensure regulatory compliance of synthetic data. Our analysis and counter-examples show that they do not protect against singling out and linkability and, among other fundamental issues, completely ignore the motivated intruder test.<|reference_end|>
@article{ganev2024synthetic,
    title={Synthetic Data, Similarity-based Privacy Metrics, and Regulatory
  (Non-)Compliance},
    author={Georgi Ganev},
    journal={arXiv preprint arXiv:2407.16929},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.16929},
    primaryClass={cs.CR cs.AI cs.CY}
}