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differential privacy

1010 papers

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Also known as

DPDL DP-SGD DP DPSGD MDP LDP

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) sample complexity (1158) privacy preservation (376) privacy-preserving learning (115) regret bound (1918) privacy-preserving machine learning (99) large language model (12755) exponential mechanism (30) online learning (1770)

Papers

Differentially Private Testing of Identity and Closeness of Discrete Distributions NIPS 2018
Learners that Use Little Information ALT 2018
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data NIPS 2018
The Price of Privacy for Low-rank Factorization NIPS 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NIPS 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Learning Optimal Reserve Price against Non-myopic Bidders NIPS 2018
Data-dependent PAC-Bayes priors via differential privacy NIPS 2018
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM NIPS 2017
Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017
Priv’IT: Private and Sample Efficient Identity Testing ICML 2017
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models ICML 2017
Differentially Private Clustering in High-Dimensional Euclidean Spaces ICML 2017
The Price of Differential Privacy for Online Learning ICML 2017
Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017
DP-EM: Differentially Private Expectation Maximization AISTATS 2017
Differentially private Bayesian learning on distributed data NIPS 2017
Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017
Differentially Private Empirical Risk Minimization Revisited: Faster and More General NIPS 2017
Practical Locally Private Heavy Hitters NIPS 2017
Differentially Private Ordinary Least Squares ICML 2017
A New Class of Private Chi-Square Hypothesis Tests AISTATS 2017