Are there good ways to measure the amount (original) subject level data that can be extracted from a synthetic dataset, or calculated risk of reidentification (which is nice and easy for k-anonymity (if your assumptions are valid))?
If Im looking for a white male in new york city it's going to be harder to find my target than it would be if I also know their birth date and zip code.