EPISODE · Mar 8, 2020 · 13 MIN
Don't be naive with data anonymization (Ep. 98)
from Data Science at Home · host 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.
Embed this episode
NOW PLAYING
Don't be naive with data anonymization (Ep. 98)
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.