Implementations of differentially private analyses

Differentially private analyses are a way of keeping people’s information private. This is done by making sure that, when we analyze a collection of data (like a survey), we don’t look too closely at individuals’ answers. Instead, we only look at big patterns in the data. This way, people’s answers can still be part of the analysis without their identity being revealed. An implementation of differentially private analyses means using special software or protocols to ensure that the data is kept safe and private.