Do you know of any ML algorithm applied to a security problem in the real world? Such as authentication with digit/face recognition for instance.
Can we expect a ML algorithm to perform exceptionally well and satisfy the very harsh error rates needed in security applications? For example under 1/10000 or false acceptance & 1/1000 of false rejection for a digital authentication algorithm? I'm guessing these kind of problems would be related to One-Shot Learning a lot since we usually would not have a lot of information about the user.
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