Teaching Machines to Hunt for Hackers, Sing Taylor Swift

At Black Hat, data scientists showed off the security and artistic possibilities of machine learning. LAS VEGAS—Most of us are probably familiar with machine learning in the context of trippy images created by the Deep Dream neural network. The general concept is to “train” a computer on a task so that it can operate autonomously. Ideally, machine-learning systems can adapt to new situations that their human creators could not have foreseen. And when put toward data security, it could lead to totally new breakthroughs. At this year’s Black Hat conference here, Cylance Senior Researcher Brian Wallace and Data Scientist Xuan Zhao walked attendees through some simply applications that could take the grunt work out of cyber security and, perhaps, generate new discoveries. They also generated a Taylor Swift song, but…

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