A statistical approach to assessing neural network robustness
We present a new approach to assessing the robustness of neural networks based on estimating the proportion of inputs for which a property is violated. Specifically, we estimate the probability of the event that the property is violated under an input model. Our approach critically varies from the f...
| Main Authors: | , , , |
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| Format: | Conference item |
| Published: |
International Conferences on Learning Representations
2019
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