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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

The Discrete Gaussian for Differential Privacy NIPS 2020
On the Equivalence between Online and Private Learnability beyond Binary Classification NIPS 2020
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space NIPS 2020
Practical Locally Private Heavy Hitters JMLR 2020
Differential Privacy for Stackelberg Games IJCAI 2020
Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020
Interpretable and Differentially Private Predictions AAAI 2020
Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020
Pairwise Learning with Differential Privacy Guarantees AAAI 2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020
Differentially Private Top-k Selection via Stability on Unknown Domain UAI 2020
Selling Data at an Auction under Privacy Constraints UAI 2020
Smoothed Analysis of Online and Differentially Private Learning NIPS 2020
Differentially Private Small Dataset Release Using Random Projections UAI 2020
Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020
CoinPress: Practical Private Mean and Covariance Estimation NIPS 2020
Differentially Private Clustering: Tight Approximation Ratios NIPS 2020
Bayesian Pseudocoresets NIPS 2020
Differentially Private Survival Function Estimation MLHC 2020
Empirical Studies of Institutional Federated Learning For Natural Language Processing EMNLP 2020
A Differentially Private Text Perturbation Method Using Regularized Mahalanobis Metric EMNLP 2020
Differentially-Private Federated Linear Bandits NIPS 2020
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints ICML 2020