How to Mask Information in Machine Learning

Masking is a simple but effective way to protect your data. But it can be used to fill in the blanks, if you like, from this masked information. We'd like some kind of way to record that information in a way that makes it accessible to the analysis while keeping it at arm's length,. If you want customers, you need to think about their preferences. Could you define the term differential privacy?