← Keywords

differential privacy

1010 papers

Explore in graph

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

Remember What You Want to Forget: Algorithms for Machine Unlearning NIPS 2021
Adapting to function difficulty and growth conditions in private optimization NIPS 2021
Private learning implies quantum stability NIPS 2021
Relaxed Marginal Consistency for Differentially Private Query Answering NIPS 2021
Multiclass versus Binary Differentially Private PAC Learning NIPS 2021
Locally differentially private estimation of functionals of discrete distributions NIPS 2021
Instance-optimal Mean Estimation Under Differential Privacy NIPS 2021
Generalized Linear Bandits with Local Differential Privacy NIPS 2021
Differentially Private Empirical Risk Minimization under the Fairness Lens NIPS 2021
Individual Privacy Accounting via a Rényi Filter NIPS 2021
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles NIPS 2021
Differentially Private Model Personalization NIPS 2021
Locally Private k-Means Clustering JMLR 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning JMLR 2021
Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021
Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021
Leveraging Public Data for Practical Private Query Release ICML 2021
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions NIPS 2020
PAC learning with stable and private predictions COLT 2020
Efficient, Noise-Tolerant, and Private Learning via Boosting COLT 2020
Pan-Private Uniformity Testing COLT 2020
Privacy Guarantees for De-Identifying Text Transformations INTERSPEECH 2020
Differentially Private Learning with Small Public Data AAAI 2020
A Knowledge Transfer Framework for Differentially Private Sparse Learning AAAI 2020
Towards practical differentially private causal graph discovery NIPS 2020