Neural nets trained on sensitive data, like medical data or social security numbers, can “accidentally” memorize it, leaving it vulnerable to hackers.
“We hope to raise awareness that it’s important to consider protecting users’ sensitive data as machine learning models are trained. Machine learning or deep learning models could be remembering sensitive data if no special care is taken.”
One of the questions often addressed to me is whether an organization needs a data science team or not.
The way in which an organization will interact with data science depends a little bit on what kind of organization it is.
To some extent, it depends a lot on the size of the organization. So, when it is just a start up, when it is an early stage company, or just one person with a very small team, then we may not need to worry so much yet about how to do experimentation, how to do machine learning, how to do sort of prediction and downstream calculations. The first order of business is just making sure we keep our data in order. And the way to do that is to make sure we focus on infrastructure.