local privacy

Private Frequency Estimation via Residue Number Systems AAAI 2026 Learning from End User Data with Shuffled Differential Privacy over Kernel Densities ICLR 2025 Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025 Locally Private Causal Inference for Randomized Experiments JMLR 2025 VAGUE‐Gate: Plug‐and‐Play Local‐Privacy Shield for Retrieval‐Augmented Generation IJCNLP 2025 Making Old Things New: A Unified Algorithm for Differentially Private Clustering ICML 2024 Fast Optimal Locally Private Mean Estimation via Random Projections NeurIPS 2023 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 Neural Graph Generation from Graph Statistics NeurIPS 2023 Local Differential Privacy for Belief Functions AAAI 2022 Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error AAAI 2022 Sentence-level Privacy for Document Embeddings ACL 2022 The Role of Interactivity in Structured Estimation COLT 2022 Information-constrained optimization: can adaptive processing of gradients help? NeurIPS 2021 Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021 Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020 Locally Differentially Private (Contextual) Bandits Learning NeurIPS 2020 Locally Private Hypothesis Selection COLT 2020 Pan-Private Uniformity Testing COLT 2020 Practical Locally Private Heavy Hitters JMLR 2020 Linear Queries Estimation with Local Differential Privacy AISTATS 2019 Locally Private Gaussian Estimation NeurIPS 2019 Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations ALT 2019 Locally Private Hypothesis Testing ICML 2018