Implications of Anonymization on Disparity Detection

Implications of Anonymization on Disparity Detection

In an article forthcoming at Management Science, we examined the extent to which data anonymization could mask the gross statistical disparities between sub-populations in the data.

The article, “Implications of Data Anonymization on the Statistical Evidence of Disparity”, was co-authored by Heng Xu and Nan Zhang.

We will post a link to the article here once the final version is ready.