Application Areas

Privacy-Preserving Adversarial Facial Features CVPR 2023 Privacy-Preserving Domain Adaptation of Semantic Parsers ACL 2023 Privacy-Preserving Face Recognition Using Random Frequency Components ICCV 2023 Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing ACL 2023 Privacy Preserving Localization via Coordinate Permutations ICCV 2023 Privacy-Preserving Natural Language Processing EACL 2023 Privacy-preserving patient clustering for personalized federated learnings MLHC 2023 Privacy-preserving Representation Learning for Speech Understanding Interspeech 2023 Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes AAAI 2023 Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses CVPR 2023 Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023 Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack Interspeech 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 PrivECG: generating private ECG for end-to-end anonymization MLHC 2023