differential privacy

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020 Differentially Private Set Union ICML 2020 Differentially Private Small Dataset Release Using Random Projections UAI 2020 Differentially Private Survival Function Estimation MLHC 2020 Differentially Private Top-k Selection via Stability on Unknown Domain UAI 2020 Differential Privacy for Stackelberg Games IJCAI 2020 Efficient, Noise-Tolerant, and Private Learning via Boosting COLT 2020 Efficient Private Algorithms for Learning Large-Margin Halfspaces ALT 2020 Empirical Studies of Institutional Federated Learning For Natural Language Processing EMNLP 2020 Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020 Fair Learning with Private Demographic Data ICML 2020 Fast and Private Submodular and k-Submodular Functions Maximization with Matroid Constraints ICML 2020 Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NeurIPS 2020 Federated Heavy Hitters Discovery with Differential Privacy AISTATS 2020 Federated Principal Component Analysis NeurIPS 2020 Generative Models for Effective ML on Private, Decentralized Datasets ICLR 2020 Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NeurIPS 2020 Hypothesis Testing Interpretations and Renyi Differential Privacy AISTATS 2020 Improving On-Device Speaker Verification Using Federated Learning with Privacy Interspeech 2020 Inferring Nighttime Satellite Imagery from Human Mobility AAAI 2020 Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms NeurIPS 2020 Interpretable and Differentially Private Predictions AAAI 2020 Learning discrete distributions: user vs item-level privacy NeurIPS 2020 Learning from Mixtures of Private and Public Populations NeurIPS 2020