differential privacy

Individual Privacy Accounting via a Rényi Filter NeurIPS 2021 Instance-optimal Mean Estimation Under Differential Privacy NeurIPS 2021 Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods NeurIPS 2021 Label-Only Membership Inference Attacks ICML 2021 Large Scale Private Learning via Low-rank Reparametrization ICML 2021 Learning and Evaluating a Differentially Private Pre-trained Language Model EMNLP 2021 Learning and Evaluating a Differentially Private Pre-trained Language Model NAACL 2021 Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021 Learning with User-Level Privacy NeurIPS 2021 Leveraging Public Data for Practical Private Query Release ICML 2021 Littlestone Classes are Privately Online Learnable NeurIPS 2021 Local Differential Privacy for Bayesian Optimization AAAI 2021 Locally differentially private estimation of functionals of discrete distributions NeurIPS 2021 Locally Differentially-Private Randomized Response for Discrete Distribution Learning JMLR 2021 Locally Private k-Means Clustering JMLR 2021 Locally Private k-Means in One Round ICML 2021 Location Trace Privacy Under Conditional Priors AISTATS 2021 Lossless Compression of Efficient Private Local Randomizers ICML 2021 Machine Unlearning via Algorithmic Stability COLT 2021 Matrix Sketching for Secure Collaborative Machine Learning ICML 2021 Measuring data leakage in machine-learning models with Fisher information UAI 2021 Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021 Multiclass versus Binary Differentially Private PAC Learning NeurIPS 2021 (Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021 Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021