public data

Public Data Assisted Differentially Private In-Context Learning EMNLP 2025 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024 Optimal Differentially Private Model Training with Public Data ICML 2024 Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024 Oracle-Efficient Differentially Private Learning with Public Data NeurIPS 2024 Public-data Assisted Private Stochastic Optimization: Power and Limitations NeurIPS 2024 Decision Tree for Locally Private Estimation with Public Data NeurIPS 2023 Effectively Using Public Data in Privacy Preserving Machine Learning ICML 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Private Estimation with Public Data NeurIPS 2022 Public Data-Assisted Mirror Descent for Private Model Training ICML 2022 Using Public Data to Predict Demand for Mobile Health Clinics AAAI 2022 Differentially Private Learning Needs Better Features (or Much More Data) ICLR 2021 Leveraging Public Data for Practical Private Query Release ICML 2021 Learning from Mixtures of Private and Public Populations NeurIPS 2020 Private Query Release Assisted by Public Data ICML 2020 Limits of Private Learning with Access to Public Data NeurIPS 2019 Splinter: Practical Private Queries on Public Data NSDI 2017