MT-MIA uses heterogeneous graph neural networks under a No-Box model to expose user-level membership leakage in synthetic relational data that single-table attacks underestimate.
Data plagiarism index: Characterizing the privacy risk of data- copying in tabular generative models.KDD- Generative AI Evaluation Workshop, 2024
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Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting
MT-MIA uses heterogeneous graph neural networks under a No-Box model to expose user-level membership leakage in synthetic relational data that single-table attacks underestimate.