l-Diversity

An extension of k-anonymity that requires each equivalence class to have at least l well-represented values for sensitive attributes, protecting against attribute disclosure.

Going beyond k-anonymity by ensuring that within each group of similar people, there's diversity in the sensitive information. Even if 5 people look alike, they shouldn't all have the same medical condition listed.