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cs.LG2024
Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training
Yujin Choi, Jinseong Park, Junyoung Byun +1
Programmatically generated synthetic data has been used in differential private training for classification to enhance performance without privacy leakage. However, as the syntheti…
cs.LG2024
Improving the Utility of Differentially Private Clustering through Dynamical Processing
Junyoung Byun, Yujin Choi, Jaewook Lee
This study aims to alleviate the trade-off between utility and privacy of differentially private clustering. Existing works focus on simple methods, which show poor performance for…