Using class-average private images as anchors and a calibrated exponential mechanism, PCEvolve produces differential-privacy synthetic images from a few examples per class, outperforming Private Evolution on four specialized datasets.
Progen: Progressive zero-shot dataset generation via in-context feedback
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PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs
Using class-average private images as anchors and a calibrated exponential mechanism, PCEvolve produces differential-privacy synthetic images from a few examples per class, outperforming Private Evolution on four specialized datasets.