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Differential Privacy

409 directly classified papers

Papers per year

Papers

Privacy-Aware Rejection Sampling JMLR 2023
Driving Context into Text-to-Text Privatization ACL 2023
Differentially Private Densest Subgraph AISTATS 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022
Label differential privacy via clustering AISTATS 2022
Differential privacy for symmetric log-concave mechanisms AISTATS 2022
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE AISTATS 2022
Privacy Amplification by Decentralization AISTATS 2022
Privacy-Preserving Models for Legal Natural Language Processing EMNLP 2022
Kantorovich Mechanism for Pufferfish Privacy AISTATS 2022
Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy ICML 2022
Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022
Differentially Private Regression with Unbounded Covariates AISTATS 2022
FriendlyCore: Practical Differentially Private Aggregation ICML 2022
Improved Regret for Differentially Private Exploration in Linear MDP ICML 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation AISTATS 2022
Tight and Robust Private Mean Estimation with Few Users ICML 2022
Differentially Private Community Detection for Stochastic Block Models ICML 2022
Encrypted Linear Contextual Bandit AISTATS 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022
Private Adaptive Optimization with Side information ICML 2022
Parametric Bootstrap for Differentially Private Confidence Intervals AISTATS 2022