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stat.ML2025
PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
Ke Jia, Yuheng Ma, Yang Li +1
We revisit the problem of generating synthetic data under differential privacy. To address the core limitations of marginal-based methods, we propose the Private Adaptive Generativ…
stat.ML2025
Locally Private Estimation with Public Features
Yuheng Ma, Ke Jia, Hanfang Yang
We initiate the study of locally differentially private (LDP) learning with public features. We define semi-feature LDP, where some features are publicly available while the remain…
stat.ML2024
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma, Ke Jia, Hanfang Yang
Previous studies yielded discouraging results for item-level locally differentially private linear regression with -sparsity assumption, where the minimax rate for sample…