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Conference Paper

First-order Adversarial Vulnerability of Neural Networks and Input Dimension

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Simon-Gabriel,  Carl-Johann
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Schölkopf,  Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Simon-Gabriel, C.-J., Ollivier, Y., Schölkopf, B., Bottou, L., & Lopez-Paz, D. (2019). First-order Adversarial Vulnerability of Neural Networks and Input Dimension. In K. Chaudhuri, & R. Salakhutdinov (Eds.), 36th International Conference on Machine Learning (ICML 2019) (pp. 10184-10203). Red Hook, NY: Curran Associates, Inc. Retrieved from http://proceedings.mlr.press/v97/simon-gabriel19a.html.


Cite as: https://hdl.handle.net/21.11116/0000-0007-89FB-4
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