GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces. (arXiv:2303.01621v1 [cs.LG])

In this paper we focus on the problem of generating high-quality, private
synthetic glucose traces, a task generalizable to many other time series
sources. Existing methods for time series data synthesis, such as those using
Generative Adversarial Networks (GANs), are not able to capture the innate
characteristics of glucose data and, in terms of privacy, either do not include
any formal privacy guarantees or, in order to uphold a strong formal privacy
guarantee, severely degrade the utility of the synthetic …

adversarial capture data focus gans generative generative adversarial networks high networks order privacy private problem quality series synthetic task terms traces