Differential Privacy

A Randomized Approach to Tight Privacy Accounting NeurIPS 2023 A Smooth Binary Mechanism for Efficient Private Continual Observation NeurIPS 2023 Counting Distinct Elements Under Person-Level Differential Privacy NeurIPS 2023 Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting ACL 2023 DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023 Differentially Private L_2-Heavy Hitters in the Sliding Window Model ICLR 2023 Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023 Differentially Private Hierarchical Clustering with Provable Approximation Guarantees ICML 2023 Differentially Private Hypothesis Testing for Linear Regression JMLR 2023 Differentially Private Image Classification by Learning Priors from Random Processes NeurIPS 2023 Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023 Differential Privacy enabled Dementia Classification: An Exploration of the Privacy-Accuracy Trade-off in Speech Signal Data Interspeech 2023 Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023 Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023 Disparate Impact in Differential Privacy from Gradient Misalignment ICLR 2023 Diverse Community Data for Benchmarking Data Privacy Algorithms NeurIPS 2023 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023 Domain Private Transformers for Multi-Domain Dialog Systems EMNLP 2023 DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023 DP-BART for Privatized Text Rewriting under Local Differential Privacy ACL 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 Driving Context into Text-to-Text Privatization ACL 2023 Easy Differentially Private Linear Regression ICLR 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023