Differential Privacy

Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Single and Multiple Change-Point Detection with Differential Privacy JMLR 2021 Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021 Bayesian Pseudocoresets NeurIPS 2020 Closure Properties for Private Classification and Online Prediction COLT 2020 CoinPress: Practical Private Mean and Covariance Estimation NeurIPS 2020 Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020 Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020 Differentially Private Top-k Selection via Stability on Unknown Domain UAI 2020 Differential Privacy for Stackelberg Games IJCAI 2020 Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy JMLR 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 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NeurIPS 2020 Interpretable and Differentially Private Predictions AAAI 2020 Locally Differentially Private (Contextual) Bandits Learning NeurIPS 2020 Locally Private Hypothesis Selection COLT 2020 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Pan-Private Uniformity Testing COLT 2020 Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020 Private Identity Testing for High-Dimensional Distributions NeurIPS 2020 Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020 Privately Learning Thresholds: Closing the Exponential Gap COLT 2020 Private Mean Estimation of Heavy-Tailed Distributions COLT 2020 Scalable Differential Privacy with Certified Robustness in Adversarial Learning ICML 2020