Implemented the targeted setting for the Frank-Wolfe attack #1
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Implemented the targeted setting for the Frank-Wolfe attack. To achieve this I transformed the problem from maximizing the loss between the prediction of the model on adversarial sample
adv_data
and the ground truth labely
, to minimizing the loss between the prediction of the model on adversarial sampleadv_data
and the target class labeltarget
.To change from maximization to minimization problem, I reversed the direction of the gradient by multiplying it with
-1
.