Privacy in Practice: Private COVID-19 Detection in X-Ray Images. (arXiv:2211.11434v2 [cs.LG] UPDATED)

Machine learning (ML) can help fight pandemics like COVID-19 by enabling
rapid screening of large volumes of images. To perform data analysis while
maintaining patient privacy, we create ML models that satisfy Differential
Privacy (DP). Previous works exploring private COVID-19 models are in part
based on small datasets, provide weaker or unclear privacy guarantees, and do
not investigate practical privacy. We suggest improvements to address these
open gaps. We account for inherent class imbalances and evaluate the
utility-privacy trade-off more …

address analysis covid data data analysis datasets detection differential privacy images large machine machine learning ml models patient privacy practice privacy private rapid