Tab-PE extends Private Evolution to tabular data with heuristic operators, outperforming AIM by up to 10% classification accuracy and 28x speed on high-order correlation datasets under differential privacy.
arXiv preprint arXiv:2502.05505 , year=
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DP-SAPF uses gradient-magnitude saliency after noise addition to select LoRA targets for DP fine-tuning of public models, reporting improved synthetic image utility and fidelity on four datasets with lower compute.
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DP-SAPF: Saliency-Aware Parameter Fine-tuning of Public Models for Differentially Private Image Synthesis
DP-SAPF uses gradient-magnitude saliency after noise addition to select LoRA targets for DP fine-tuning of public models, reporting improved synthetic image utility and fidelity on four datasets with lower compute.