Xi He
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The paper introduces PostRI, a novel method that allows for computing a Randomization Interval (RI) for differentially private median queries after the median has already been estimated, significantly improving utility compared to prior work.
The paper proposes FERMI, a method that significantly improves membership inference attacks against tabular diffusion models by leveraging auxiliary relational information available during training, even when only single-table features are visible at inference time.
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FERMI: Exploiting Relations for Membership Inference Against Tabular Diffusion Models
The paper proposes FERMI, a method that significantly improves membership inference attacks against tabular diffusion models by leveraging auxiliary relational information available during training, e…