Towards Proving the Adversarial Robustness of Deep Neural Networks

Towards Proving the Adversarial Robustness of Deep Neural Networks

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...

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Bibliographic Details
Main Authors:	Guy Katz, Clark Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
Format:	Article
Language:	English
Published:	Open Publishing Association 2017-09-01
Series:	Electronic Proceedings in Theoretical Computer Science
Online Access:	http://arxiv.org/pdf/1709.02802v1

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