find_adversarial_example
finds the closest adversarial example to a given input image for
a particular NeuralNet
.
As a sanity check, we suggest that you verify that the NeuralNet
imported achieves the
expected performance on the test set. This can be done using frac_correct
.
Pages = ["basic_usage.md"]
Order = [:function, :type]
Modules = [MIPVerify]
Order = [:function, :type]
Pages = ["MIPVerify.jl"]
Private = false