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.
Differen- tially private synthetic data via apis 3: Using simu- lators instead of foundation model,
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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.