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In this video I expand on the concept of k-anonymity with a further improvement called l-diversity. l-diversity means that sensitive attributes should have at least l "well represented" values within each equivalence class.
If you have not watched the video on k-anonymity, I would encourage you to do so before watching this video: https://youtu.be/Q0DNOIGUzMc
