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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 label y, to minimizing the loss between the prediction of the model on adversarial sample adv_data and the target class label target.

To change from maximization to minimization problem, I reversed the direction of the gradient by multiplying it with -1.

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