Privacy researchers have published a study that reveals anonymized data can be traced back to its owner, Tech Xplore reports. The research and a supporting demonstration tool show that data can be traced back by way of reverse engineering from machine learning. Working with an unidentified number of datasets, researchers correctly re-identified 99.98% of Americans' anonymized data through 15 characteristics, including basic identifiers, such as age, gender and marital status. "While there might be a lot of people who are in their thirties, male, and living in New York City, far fewer of them were also born [Jan. 5], are driving a red sports car, and live with two kids (both girls) and one dog," UCLouvain's Luc Rocher said.
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