That’s not how it works. Synthetic data is entirely artificial rather than transformed, so you’re not worried about “missing some PII”.
See for example the videos on https://hazy.com/product
Disclosure: Hazy cofounder.
See for example the videos on https://hazy.com/product
Disclosure: Hazy cofounder.
Anonymised data or redacted data are transformations of a data set that _hopes_ not to leak too much PII / sensitive data. People don’t use ML to anonymise but they do use ML to classify as a first step before splatting or generalising.
In that case, its absolutely right that the ML classifier not being 100% results in PII leaking.
This is a key reason why anonymisation and redaction are widely seen as problematic and are being replaced by synthetic data and, maybe in future, homomorphic encryption.
There are nuances — like static vs dynamic distributions and whether the downstream model is actually just aggregating anyway.
I’m my username at hazy.com if you’d like to connect.