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Evaluation of Adversarial Attack Methods on Neural Networks
(2019)Although deep neural networks have proven to be successful across a large variety of machine learning tasks, recent work has demonstrated that they are at the same time vulnerable to so-called adversarial examples: inputs that are almost indistinguishable from natural data but misclassified by the network. In the case of image classifiers, such adversarial examples have traditionally been constructed by perturbing the original images, but ...Bachelor Thesis