Safety Verification of Deep Neural Networks

21 Oct 2016Xiaowei HuangMarta KwiatkowskaSen WangMin Wu

Deep neural networks have achieved impressive experimental results in image classification, but can surprisingly be unstable with respect to adversarial perturbations, that is, minimal changes to the input image that cause the network to misclassify it. With potential applications including perception modules and end-to-end controllers for self-driving cars, this raises concerns about their safety... (read more)

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