Speaking at Infosecurity Europe 2017 today Oliver Tavakoli, CTO of Vectra Networks, said that, when implementing machine learning, it’s important to fully understand your data and where it has come from, along with knowing what the technology is trying to achieve. In his session ‘Defeating & Abusing Machine Learning-based Detection Technologies’ Tavakoli explained that a problem in information security when it comes to machine learning is that attackers can use techniques to attack and pollute your data, which can then effect the algorithm’s ability to draw correct and accurate conclusions, resulting in flawed results.

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