"Researchers Reveal That Anonymized Data Is Easy To Reverse Engineer"

Researchers at Imperial College London conducted a study in which they examined the inadequacy of data anonymization methods. According to researchers, individuals in anonymized versions of data can still be re-identified through the use of a machine learning model and any data sets containing 15 identifiable characteristics, which include age, gender, marital status, and more. The study involved the analysis of 210 different data sets from five sources, one of which was the U.S. government. The data sets from the U.S. government included information about over 11 million people. This article continues to discuss the study on the reverse engineering of anonymized data and the importance of creating better standards for anonymization methods to ensure that privacy is not invaded when data sets are shared among companies. 

Gizmodo reports "Researchers Reveal That Anonymized Data Is Easy To Reverse Engineer"