def is_adversarial(self, predictions, label):
"""Decides if predictions for an image are adversarial."""
top1 = np.argmax(predictions)
probabilities = softmax(predictions)
return (np.max(probabilities) >= self.threshold) and (top1 != label)
def is_adversarial(self, predictions, label):
"""Decides if predictions for an image are adversarial."""
probabilities = softmax(predictions)
return probabilities[self.target_class()] > self.p