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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

Improving Fairness and Privacy in Selection Problems AAAI 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization COLT 2021
On the Intrinsic Differential Privacy of Bagging IJCAI 2021
Differentially Private Sliced Wasserstein Distance ICML 2021
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021
Single and Multiple Change-Point Detection with Differential Privacy JMLR 2021
PAPRIKA: Private Online False Discovery Rate Control ICML 2021
Deep Learning with Label Differential Privacy NIPS 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
Differentially Private Learning with Adaptive Clipping NIPS 2021
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NIPS 2021
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021
Measuring data leakage in machine-learning models with Fisher information UAI 2021
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework NAACL 2021
Differentially Private Stochastic Coordinate Descent AAAI 2021
Understanding Unintended Memorization in Language Models Under Federated Learning NAACL 2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods NIPS 2021
Differentially Private Federated Bayesian Optimization with Distributed Exploration NIPS 2021
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels NAACL 2021
Privately Learning Subspaces NIPS 2021
Differentially Private Assouad, Fano, and Le Cam ALT 2021
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NIPS 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021
Differentially Private and Communication Efficient Collaborative Learning AAAI 2021
Projection-Free Bandit Optimization with Privacy Guarantees AAAI 2021