Certifying Neural Network Robustness to Random Input Noisefrom Samples
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The authors proposed a certification method to upper bound the propability of misclassification when the input noise follows an arbitrary probability distribution. The problem is formulated as a chance-contrained optimization
problem which can be solved via scenario approach
.