conftrace_

local privacy

26 papers

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Co-occurring keywords

differential privacy (1016) distribution estimation (71) randomized response (15) local differential privacy (73) hypothesis testing (254) federated learning (1333) regret bound (1926) contextual bandit (381) convergence rate (607) heavy hitter (14)

Papers

Private Frequency Estimation via Residue Number Systems AAAI 2026
VAGUE‐Gate: Plug‐and‐Play Local‐Privacy Shield for Retrieval‐Augmented Generation IJCNLP 2025
Locally Private Causal Inference for Randomized Experiments JMLR 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees EMNLP 2025
VAGUE‐Gate: Plug‐and‐Play Local‐Privacy Shield for Retrieval‐Augmented Generation AACL 2025
Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023
Neural Graph Generation from Graph Statistics NIPS 2023
Fast Optimal Locally Private Mean Estimation via Random Projections NIPS 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
Information-constrained optimization: can adaptive processing of gradients help? NIPS 2021
Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021
Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021
Pan-Private Uniformity Testing COLT 2020
Locally Differentially Private (Contextual) Bandits Learning NIPS 2020
Locally Private Hypothesis Selection COLT 2020
Practical Locally Private Heavy Hitters JMLR 2020
Locally Private Gaussian Estimation NIPS 2019
Linear Queries Estimation with Local Differential Privacy AISTATS 2019
Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations ALT 2019
Locally Private Hypothesis Testing ICML 2018
Practical Locally Private Heavy Hitters NIPS 2017
Discrete Distribution Estimation under Local Privacy ICML 2016
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NIPS 2013