Co-occurring keywords · papers mentioning both
Papers
Differentially Private Reinforcement Learning with Self-Play
NeurIPS 2024
Exactly Minimax-Optimal Locally Differentially Private Sampling
NeurIPS 2024
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
ICLR 2024
Locally Private and Robust Multi-Armed Bandits
NeurIPS 2024
Online Distribution Learning with Local Privacy Constraints
AISTATS 2024
Optimal Locally Private Nonparametric Classification with Public Data
JMLR 2024
Publishing Number of Walks and Katz Centrality under Local Differential Privacy
UAI 2024
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
COLT 2024
Split-and-Denoise: Protect large language model inference with local differential privacy
ICML 2024
Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy
ICML 2024
Universal Exact Compression of Differentially Private Mechanisms
NeurIPS 2024
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
AISTATS 2023
Discrete Distribution Estimation under User-level Local Differential Privacy
AISTATS 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy
ACL 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data
JMLR 2023
LDP-Feat: Image Features with Local Differential Privacy
ICCV 2023
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy
NeurIPS 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets
ICML 2023
On Computing Pairwise Statistics with Local Differential Privacy
NeurIPS 2023
Online Local Differential Private Quantile Inference via Self-normalization
ICML 2023
Robust Estimation of Discrete Distributions under Local Differential Privacy
ALT 2023
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
COLT 2023
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
NeurIPS 2023
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches
AISTATS 2022