Titlebook: Integration of Constraint Programming, Artificial Intelligence, and Operations Research; 21st International C Bistra Dilkina Conference pro

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,Robustness Verification in Neural Networks,s to interchange security and efficiency questions in neural networks and analyze their computational complexities. We show that the problems are conquerable in a semi-linear setting, meaning that for piecewise linear activation functions and when the sum- or maximum metric is used, most of them are in P or in NP at most.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/468834.jpg

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