Data Science at Home
Data Science at Home
Francesco Gadaleta
Don't be naive with data anonymization (Ep. 98)
13 minutes Posted Mar 8, 2020 at 3:33 pm.
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Masking, obfuscating, stripping, shuffling. 

All the above techniques try to do one simple thing: keeping the data private while sharing it with third parties. Unfortunately, they are not the silver bullet to confidentiality. 

All the players in the synthetic data space rely on simplistic techniques that are not secure, might not be compliant and risky for production.
At pryml we do things differently.