Don't be naive with data anonymization (Ep. 98) - a podcast by Francesco Gadaleta

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. 

Further episodes of Data Science at Home

Further podcasts by Francesco Gadaleta

Website of Francesco Gadaleta