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I guess they are talking about adversarial attacks in the same way Szegedy et al. did in "Intriguing properties of neural networks" They described "adversarial attacks" or "adversarial examples" as images with hardly perceptible perturbations that change the network's prediction. For example, imagine you've trained a CNN to classify between a variety of ...

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