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Differential Privacy

409 directly classified papers

Papers per year

Papers

Simultaneous Private Learning of Multiple Concepts JMLR 2019
Characterizing the Sample Complexity of Pure Private Learners JMLR 2019
Capacity Bounded Differential Privacy NIPS 2019
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors NIPS 2019
Private Stochastic Convex Optimization with Optimal Rates NIPS 2019
Differentially Private Distributed Data Summarization under Covariate Shift NIPS 2019
Facility Location Problem in Differential Privacy Model Revisited NIPS 2019
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate NIPS 2019
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces NIPS 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NIPS 2019
Private Learning Implies Online Learning: An Efficient Reduction NIPS 2019
Oblivious Sampling Algorithms for Private Data Analysis NIPS 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NIPS 2019
Private Testing of Distributions via Sample Permutations NIPS 2019
Private Hypothesis Selection NIPS 2019
Locally Private Gaussian Estimation NIPS 2019
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition NIPS 2019
Elliptical Perturbations for Differential Privacy NIPS 2019
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning NIPS 2019
On Differentially Private Graph Sparsification and Applications NIPS 2019
Differentially Private Anonymized Histograms NIPS 2019
Differentially Private Bayesian Linear Regression NIPS 2019
KNG: The K-Norm Gradient Mechanism NIPS 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification CVPR 2019
Differentially Private Matrix Completion Revisited ICML 2018