Requirements for Developing Robust Neural Networks

4 Oct 2019John S. HyattMichael S. Lee

Validation accuracy is a necessary, but not sufficient, measure of a neural network classifier's quality. High validation accuracy during development does not guarantee that a model is free of serious flaws, such as vulnerability to adversarial attacks or a tendency to misclassify (with high confidence) data it was not trained on... (read more)

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