A study in Nature Health reported that air conditioning saved nearly 58,000 lives in the U.S. between 2010 and 2020. ^[1] Scientists estimate that air conditioning saves more than 5,000 lives annually in the United States alone. ^[2] Researchers propose DP-TabImage, a modality-specialized framework for synthesizing paired tabular and image data under differential privacy constraints. ^[3] Kai Chen, an epidemiology professor at the Yale School of Public Health, stated that air conditioning leads to more carbon emissions and accelerates climate warming. ^[4] The United Nations Environment Programme projects heat-trapping gas emissions from air conditioning will rise from 4.5 billion to 7.2 billion tons in the next 25 years. ^[5] Experiments on three real-world datasets show that DP-TabImage achieves a strong balance among tabular fidelity, image fidelity, and cross-modal alignment. ^[6] The DP-TabImage framework 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 for the conditional image distribution. ^[7] The authors pretrain the model on private table-image prototypes to facilitate conditional learning under clipped and noisy gradients. ^[8]