Aim high, stay private: Differentially private synthetic data enables public release of behavioral health information with high utility
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Sharing behavioral health and wearable data poses privacy challenges, as traditional de-identification remains vulnerable to re-identification. Differential privacy (DP) provides mathematical guarantees through a tunable privacy budget, ϵ. This study evaluates the feasibility of generating and releasing DP synthetic behavioral health data with high analytical utility, identifying practical ϵ values for public data sharing. We analyzed physiological data from wearable devices and self-reported data from Phase 1 of the Lived Experiences Measured Using Rings Study (LEMURS), which tracked sleep, stress, and well-being among first-year college students. Three DP synthetic data generators: AIM, MST, and PATECTGAN, were evaluated across privacy budgets ranging from ϵ = 1 to 100. Utility was assessed using L1/L2 errors, correlation, regression, UMAP, and assessed vulnerability via privacy attacks. Results: AIM outperformed MST and PATECTGAN in preserving both statistical and analytical properti..., , # LEMURS Differentially Private Survey Dataset
**Title:** Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility
**Authors:** Mohsen Ghasemizade, Juniper Lovato, Chris Danforth, Peter Sheridan Dodds, Laura S.P. Bloomfield, Matthew Price, Joseph Near
**Institution:** University of Vermont, Burlington, VT, USA
**Corresponding Author:** Mohsen Ghasemizade ([mghasemi@uvm.edu](mailto:mghasemi@uvm.edu))
**Related Publication:** *Journal of the American Medical Informatics Association*, 2025
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## Dataset Overview
This dataset is a **differentially private (DP) synthetic version** of the Survey dataset collected during Phase 1 of the Lived Experiences Measured Using Rings Study (LEMURS). LEMURS is a longitudinal study that recruited approximately 600 first-year college students at the University of Vermont beginning in Fall 2022. Participants completed weekly surveys and wore Oura rings to track sleep, ph..., This dataset has been de-identified using differential privacy, an additional layer of privacy after normal de-identification techniques. ,
创建时间：
2026-04-18
