Privacy

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 Proactive Deepfake Defence via Identity Watermarking WACV 2023 Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning ICLR 2023 ProPILE: Probing Privacy Leakage in Large Language Models NeurIPS 2023 Protecting Global Properties of Datasets with Distribution Privacy Mechanisms AISTATS 2023 Protecting Language Generation Models via Invisible Watermarking ICML 2023 Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network AAAI 2023 Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023