Estimating the success of re-identifications in incomplete datasets using generative models | Nature Communications

Pinboard (datasociety) 2019-08-20

Summary:

"Using our model, we find that 99.98% of Americans would be correctly re-identified in any dataset using 15 demographic attributes. Our results suggest that even heavily sampled anonymized datasets are unlikely to satisfy the modern standards for anonymization set forth by GDPR and seriously challenge the technical and legal adequacy of the de-identification release-and-forget model."

Link:

https://www.nature.com/articles/s41467-019-10933-3

From feeds:

Data & Society ยป Pinboard (datasociety)

Tags:

general dslack

Authors:

datasociety

Date tagged:

08/20/2019, 18:55

Date published:

07/29/2019, 13:01