Explore 3 AI terms in Data Anonymization
Data anonymization is the process of removing or altering personal information to protect privacy while maintaining data utility.
L-Diversity is a data privacy technique that protects sensitive information by ensuring diverse sensitive attributes in data sets.
T-Closeness is a privacy model ensuring sensitive attribute distributions remain similar across groups.