Article

CoVnita: An End-to-end Privacy-preserving Framework for SARS-CoV-2 Classification

2022-11-14

Abstract excerpt

Classification of viral strains is essential in monitoring and managing the COVID-19 pandemic, but patient privacy and data security concerns often limit the extent of the open sharing of full viral genome sequencing data. We propose a framework called CoVnita, that supports private training of a classification model and secure inference with the same model. Using genomic sequences from eight common SARS-CoV-2 st...

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Literature Corpus work: d1d503f1-320f-58ed-9db6-e142f2d3a7a7
DOI: 10.21203/rs.3.rs-2171057/v1

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