Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance (2407.16929v2)

Published 24 Jul 2024 in cs.CR, cs.AI, and cs.CY

Abstract: 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.

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Authors (1)

Georgi Ganev

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