Don't be naive with data anonymization (Ep. 98)
Episode 95 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Don't be naive with data anonymization (Ep. 98)" was published on March 8, 2020 and runs 13 minutes.
March 8, 2020 ·13m · Data Science at Home
Summary
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.
Episode Description
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.
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