Towards Proving the Adversarial Robustness of Deep Neural Networks

FVAV@iFM, pp. 19-26, 2017.

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Abstract:

Autonomous vehicles are highly complex systems, required to function reliably in a wide variety of situations. Manually crafting software controllers for these vehicles is difficult, but there has been some success in using deep neural networks generated using machine-learning. However, deep neural networks are opaque to human engineers...More

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