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.