A differentially private kernel two-sample test

Kernel two-sample testing is a useful statistical tool in determining whether data samples arise from different distributions without imposing any parametric assumptions on those distributions. However, raw data samples can expose sensitive information about individuals who participate in scientific...

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Bibliographic Details
Main Authors: Raj, A, Law, HCL, Sejdinovic, D, Park, M
Format: Conference item
Language:English
Published: Springer Nature 2020