Towards Proving the Adversarial Robustness of Deep Neural Networks

Katz, Guy, Barrett, Clark, Dill, David L., Julian, Kyle, Kochenderfer, Mykel J.·2017·Electronic Proceedings in Theoretical Computer Science

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  6. Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
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  7. Functional verification of cyber-physical systems containing machine-learnt components
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  11. Engineering Safe Machine Learning for Automated Driving Systems
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