differential privacy

No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021 Numerical Composition of Differential Privacy NeurIPS 2021 On a Utilitarian Approach to Privacy Preserving Text Generation NAACL 2021 On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021 Oneshot Differentially Private Top-k Selection ICML 2021 On the Intrinsic Differential Privacy of Bagging IJCAI 2021 On the Privacy Properties of GAN-generated Samples AISTATS 2021 On the Sample Complexity of Privately Learning Axis-Aligned Rectangles NeurIPS 2021 On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021 PAPRIKA: Private Online False Discovery Rate Control ICML 2021 PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification Interspeech 2021 Photonic Differential Privacy with Direct Feedback Alignment NeurIPS 2021 Practical and Private (Deep) Learning Without Sampling or Shuffling ICML 2021 Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021 Principal component analysis in the stochastic differential privacy model UAI 2021 Privacy Budget Scheduling OSDI 2021 Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning EMNLP 2021 Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels NAACL 2021 Private Adaptive Gradient Methods for Convex Optimization ICML 2021 Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021 Private and Non-private Uniformity Testing for Ranking Data NeurIPS 2021 Private learning implies quantum stability NeurIPS 2021 Privately Learning Mixtures of Axis-Aligned Gaussians NeurIPS 2021 Privately Learning Subspaces NeurIPS 2021 Privately Publishable Per-instance Privacy NeurIPS 2021