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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

Optimal Noise-Adding Mechanism in Additive Differential Privacy AISTATS 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019
Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019
Privacy-aware Synthesizing for Crowdsourced Data IJCAI 2019
Differentially Private Online Submodular Minimization AISTATS 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019
Privacy Amplification by Mixing and Diffusion Mechanisms NIPS 2019
Differentially Private Anonymized Histograms NIPS 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters ICML 2019
Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019
Differentially Private Bayesian Linear Regression NIPS 2019
KNG: The K-Norm Gradient Mechanism NIPS 2019
On Differentially Private Graph Sparsification and Applications NIPS 2019
Linear Queries Estimation with Local Differential Privacy AISTATS 2019
Test without Trust: Optimal Locally Private Distribution Testing AISTATS 2019
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors NIPS 2019
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases NIPS 2019
Old Techniques in Differentially Private Linear Regression ALT 2019
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy ICML 2019
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA ICML 2019
Differentially Private Fair Learning ICML 2019
Differentially Private Learning of Geometric Concepts ICML 2019
Graphical-model based estimation and inference for differential privacy ICML 2019
Formal Privacy for Functional Data with Gaussian Perturbations ICML 2019