Private Collaborative Data Cleaning via Non-Equi PSI

ePrint Report: Private Collaborative Data Cleaning via Non-Equi PSI

Erik-Oliver Blass, Florian Kerschbaum

We introduce and investigate the privacy-preserving version of collaborative data cleaning. With collaborative data cleaning, two parties want to reconcile their data sets to filter out badly classified, misclassified data items. In the privacy-preserving (private) version of data cleaning, the additional security goal is that parties should only learn their misclassified data items, but nothing else about the other party's data set. The problem of private data …

data data cleaning eprint report non