randomized response

Differentially Private Best-Arm Identification JMLR 2026 Estimating the True Distribution of Data Collected with Randomized Response AAAI 2026 Counting Graphlets of Size k under Local Differential Privacy AISTATS 2025 FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024 Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024 Publishing Number of Walks and Katz Centrality under Local Differential Privacy UAI 2024 Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023 Regression with Label Differential Privacy ICLR 2023 Label differential privacy via clustering AISTATS 2022 Deep Learning with Label Differential Privacy NeurIPS 2021 Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Lossless Compression of Efficient Private Local Randomizers ICML 2021 Context Aware Local Differential Privacy ICML 2020 Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead ICML 2020 Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020 Locally Private Hypothesis Testing ICML 2018 Discrete Distribution Estimation under Local Privacy ICML 2016 Secure Multi-party Differential Privacy NeurIPS 2015 Extremal Mechanisms for Local Differential Privacy NeurIPS 2014 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013