No, because that would take full rows of the feature matrix (thereby corresponding to the full information of one individual). The idea here is to “generate” rows corresponding to plausible artificial individuals. That way you can give a third party artificial data to build an ML model without compromising (too much) the privacy of the real individual in the initial data.

It is easy to confuse it for such, but it is not bootstrapping. It is a form of multi-dimensional random variable generation, where the generated dimensions preserve same correlations/relationships as those in the original dataset.