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Are there some documented and testable examples of fraud and anomaly detection via deep learning? I'm asking from being able to play around / learn more about this domain.

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A lot of it is actually our customers. We've been covering that kind of R&D ourselves. That's the fun of being able to look at applications outside of the google,fb hype.

Thats interesting. Would you recommend any learning material for the fraud/anamoly detection using deep learning? Any available datasets one can play with?

That's actually a big problem. Very few datasets out there, because the data tends to be sensitive.

Here's one we use for demos: https://www.unsw.adfa.edu.au/australian-centre-for-cyber-sec...

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