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A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data
May 10, 2024, 4:12 a.m. | Meenatchi Sundaram Muthu Selva Annamalai, Andrea Gadotti, Luc Rocher
cs.CR updates on arXiv.org arxiv.org
Abstract: Recent advances in synthetic data generation (SDG) have been hailed as a solution to the difficult problem of sharing sensitive data while protecting privacy. SDG aims to learn statistical properties of real data in order to generate "artificial" data that are structurally and statistically similar to sensitive data. However, prior research suggests that inference attacks on synthetic data can undermine privacy, but only for specific outlier records. In this work, we introduce a new attribute …
artificial arxiv attacks cs.cr cs.lg data learn linear order privacy problem protecting real sdg sensitive sensitive data sharing solution synthetic synthetic data
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