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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 Sampling from Distributions NIPS 2021
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021
Differentially Private Nonparametric Regression Under a Growth Condition COLT 2021
(Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021
The Sparse Vector Technique, Revisited COLT 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model NIPS 2021
User-Level Differentially Private Learning via Correlated Sampling NIPS 2021
Private and Non-private Uniformity Testing for Ranking Data NIPS 2021
Private Adaptive Gradient Methods for Convex Optimization ICML 2021
Differentially Private Correlation Alignment for Domain Adaptation IJCAI 2021
Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021
Differentially Private Pairwise Learning Revisited IJCAI 2021
Robust and Private Learning of Halfspaces AISTATS 2021
ER-AE: Differentially Private Text Generation for Authorship Anonymization NAACL 2021
Machine Unlearning via Algorithmic Stability COLT 2021
Differentially Private n-gram Extraction NIPS 2021
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021
Private Stochastic Non-convex Optimization with Improved Utility Rates IJCAI 2021
Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model EMNLP 2021
Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021
Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT AISTATS 2021