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Differential Privacy

409 directly classified papers

Papers per year

Papers

Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited NIPS 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data NIPS 2018
The Price of Privacy for Low-rank Factorization NIPS 2018
Differentially Private k-Means with Constant Multiplicative Error NIPS 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NIPS 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Local Differential Privacy for Evolving Data NIPS 2018
Differentially Private Robust Low-Rank Approximation NIPS 2018
Differential Privacy for Growing Databases NIPS 2018
Locally Private Hypothesis Testing ICML 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018
Local Private Hypothesis Testing: Chi-Square Tests ICML 2018
Differentially Private Database Release via Kernel Mean Embeddings ICML 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018
Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018
INSPECTRE: Privately Estimating the Unseen ICML 2018
Collecting Telemetry Data Privately NIPS 2017
The Price of Differential Privacy for Online Learning ICML 2017
Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017
Differentially Private Empirical Risk Minimization Revisited: Faster and More General NIPS 2017
Efficient Private ERM for Smooth Objectives IJCAI 2017
Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017
Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017
Differentially Private Ordinary Least Squares ICML 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017