Machine learning is one of the biggest buzzwords in cybersecurity in 2017. But a sufficiently smart adversary can exploit what the machine learning algorithm does, and reduce the quality of decision-making.
“The concern about this is that one might find that an adversary is able to control, in a big-data environment, enough of that data that they can feed you in misdirection,” said Dr Deborah Frincke, head of the Research Directorate (RD) of the US National Security Agency/Central Security Service (NSA/CSS). [1]
[1] By Stilgherrian for The Full Tilt
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