Application Areas

Differentially Private Clustering via Maximum Coverage AAAI 2021 Differentially Private Correlation Alignment for Domain Adaptation IJCAI 2021 Differentially Private Correlation Clustering ICML 2021 Differentially Private Decomposable Submodular Maximization AAAI 2021 Differentially Private Densest Subgraph Detection ICML 2021 Differentially Private Empirical Risk Minimization under the Fairness Lens NeurIPS 2021 Differentially Private Federated Bayesian Optimization with Distributed Exploration NeurIPS 2021 Differentially Private k-Means via Exponential Mechanism and Max Cover AAAI 2021 Differentially Private Learning Needs Better Features (or Much More Data) ICLR 2021 Differentially Private Learning with Adaptive Clipping NeurIPS 2021 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