Differentially Private Paired Table-Image Multimodal Synthesis
Differentially private (DP) synthesis has been extensively studied for tabular and image data separately, yet many real-world datasets contain images paired with multivariate tabular records. Synthesizing such data is particularly challenging under DP, as the two modalities favor different private learning mechanisms while their dependence must also be preserved. To address this challenge, we propose DP-TabImage, a modality-specialized framework for private paired synthesis. DP-TabImage instantiates the factorization $p(x,y)=p_T(y)p_I(x\;|\;y)$ using a private Probabilistic Graphical Model for the multivariate table distribution and a table-conditioned diffusion model trained with DP-SGD ...
| Authors | Kai Chen, Josephine Lamp, Somesh Jha et al. |
|---|---|
| Primary category | cs.CR |
| Published | 1 September 2026 |
| Last updated at source | 1 September 2026 |
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