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Differential Privacy

409 directly classified papers

Papers per year

Papers

Private Release of Text Embedding Vectors NAACL 2021
Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NIPS 2020
Private Identity Testing for High-Dimensional Distributions NIPS 2020
Locally Differentially Private (Contextual) Bandits Learning NIPS 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NIPS 2020
Smoothly Bounding User Contributions in Differential Privacy NIPS 2020
CoinPress: Practical Private Mean and Covariance Estimation NIPS 2020
Bayesian Pseudocoresets NIPS 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints ICML 2020
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 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
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020
Differential Privacy for Stackelberg Games IJCAI 2020
Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020
Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020
Smoothed Analysis of Online and Differentially Private Learning NIPS 2020
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019
Differentially Private Community Detection in Attributed Social Networks ACML 2019
Private Model Compression via Knowledge Distillation AAAI 2019