Privacy

Differentially Private Link Prediction with Protected Connections AAAI 2021 Differentially Private Model Personalization NeurIPS 2021 Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints AISTATS 2021 Differentially Private Multi-Armed Bandits in the Shuffle Model NeurIPS 2021 Differentially Private n-gram Extraction NeurIPS 2021 Differentially Private Online Submodular Maximization AISTATS 2021 Differentially Private Pairwise Learning Revisited IJCAI 2021 Differentially Private Quantiles ICML 2021 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 DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021 Ditto: Fair and Robust Federated Learning Through Personalization ICML 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 Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation EMNLP 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NeurIPS 2021 Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021