differential privacy

Privacy Aware Question-Answering System for Online Mental Health Risk Assessment ACL 2023 Privacy-Aware Rejection Sampling JMLR 2023 Privacy-Preserving Domain Adaptation of Semantic Parsers ACL 2023 Privacy-Preserving Natural Language Processing EACL 2023 Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes AAAI 2023 Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023 Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations COLT 2023 Private Distribution Learning with Public Data: The View from Sample Compression NeurIPS 2023 Private estimation algorithms for stochastic block models and mixture models NeurIPS 2023 Private Everlasting Prediction NeurIPS 2023 Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NeurIPS 2023 Private Federated Learning with Autotuned Compression ICML 2023 Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses ICLR 2023 Private Image Generation With Dual-Purpose Auxiliary Classifier CVPR 2023 Private Non-Convex Federated Learning Without a Trusted Server AISTATS 2023 Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter UAI 2023 Private Statistical Estimation of Many Quantiles ICML 2023 Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NeurIPS 2023 Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses ALT 2023 Protecting Global Properties of Datasets with Distribution Privacy Mechanisms AISTATS 2023 Robust and private stochastic linear bandits ICML 2023 Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk NeurIPS 2023 Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations NeurIPS 2023 Secure Federated Correlation Test and Entropy Estimation ICML 2023 Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023