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If you have been reading our reports on adversarial images, the headline should come as no surprise. What is a surprise is the way that AI researchers are regarding such images as security threats rather than a deep insight into the way neural nets work. It was a surprise when adversarial images were discovered. Put simply you can work out a small valued image, a perturbation, that when added to an existing correctly classified image will cause it to be misclassified even though a human can see no difference. It was hinted at the such perturbations disturbed the classification of a range of neural networks and perhaps even other machine learning approaches in the same way.