{"total":16,"rows":[{"id":"2107.01614","title":"Survey: Leakage and Privacy at Inference Time","created":"2021-07-04","cited_by_count":44,"area":null},{"id":"2202.12275","title":"Partitioned Variational Inference: A Framework for Probabilistic Federated Learning","created":"2022-02-24","cited_by_count":13,"area":null},{"id":"2205.14485","title":"Noise-Aware Statistical Inference with Differentially Private Synthetic Data","created":"2022-05-28","cited_by_count":9,"area":null},{"id":"2302.03314","title":"Federated Variational Inference Methods for Structured Latent Variable Models","created":"2023-02-07","cited_by_count":4,"area":null},{"id":"2106.00474","title":"Gaussian Processes with Differential Privacy","created":"2021-06-01","cited_by_count":3,"area":null},{"id":"2103.11648","title":"D3p -- A Python Package for Differentially-Private Probabilistic Programming","created":"2021-03-22","cited_by_count":2,"area":null},{"id":"2209.11595","title":"Differentially private partitioned variational inference","created":"2022-09-23","cited_by_count":2,"area":null},{"id":"2210.15961","title":"DPVIm: Differentially Private Variational Inference Improved","created":"2022-10-28","cited_by_count":2,"area":null},{"id":"2302.05787","title":"Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records","created":"2023-02-11","cited_by_count":2,"area":null},{"id":"2402.03985","title":"A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets","created":"2024-02-06","cited_by_count":2,"area":null},{"id":"2110.14426","title":"Locally Differentially Private Bayesian Inference","created":"2021-10-27","cited_by_count":1,"area":null},{"id":"2111.13219","title":"Differentially private stochastic expectation propagation (DP-SEP)","created":"2021-11-25","cited_by_count":1,"area":null},{"id":"2307.05194","title":"Differentially Private Statistical Inference through $\\beta$-Divergence One Posterior Sampling","created":"2023-07-11","cited_by_count":1,"area":null},{"id":"2308.04755","title":"Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data","created":"2023-08-09","cited_by_count":1,"area":null},{"id":"2603.18254","title":"Computation-Utility-Privacy Tradeoffs in Bayesian Estimation","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2410.19371","title":"Noise-Aware Differentially Private Variational Inference","created":"2024-10-25","cited_by_count":0,"area":null}],"next_cursor":null}