differential privacy

Differentially Private Query Release Through Adaptive Projection ICML 2021 Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021 Differentially Private Sampling from Distributions NeurIPS 2021 Differentially Private Sliced Wasserstein Distance ICML 2021 Differentially Private Stochastic Coordinate Descent AAAI 2021 Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings NeurIPS 2021 Differentially Private Weighted Sampling AISTATS 2021 Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent NeurIPS 2021 Differential Privacy Over Riemannian Manifolds NeurIPS 2021 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021 Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NeurIPS 2021 DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NeurIPS 2021 ER-AE: Differentially Private Text Generation for Authorship Anonymization NAACL 2021 Evading the Curse of Dimensionality in Unconstrained Private GLMs AISTATS 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 Fast and Memory Efficient Differentially Private-SGD via JL Projections NeurIPS 2021 Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021 Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021 FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021 Generalized Linear Bandits with Local Differential Privacy NeurIPS 2021 G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators NeurIPS 2021 H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning IJCAI 2021 Improving Fairness and Privacy in Selection Problems AAAI 2021 Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021