lbfgs_test

min_test.py

   import foolbox
   import keras
   import numpy
   from keras.applications.resnet50 import ResNet50
   import matplotlib.pyplot as plt
   import scipy.misc
   
   # instantiate model
   keras.backend.set_learning_phase(0)
   kmodel = ResNet50(weights='imagenet')
   preprocessing = (numpy.array([104, 116, 123]), 1)
   fmodel = foolbox.models.KerasModel(kmodel, bounds=(0, 255), preprocessing=preprocessing)
   
   path = 'ILSVRC2012_val_00017762.JPEG'
   # get source image and label
   image = scipy.misc.imread(path)
   image = scipy.misc.imresize(image, (224, 224))
   label = numpy.argmax(fmodel.predictions(image))
   
   attack = foolbox.attacks.LBFGSAttack(fmodel)
   adversarial = attack(image[:,:,::-1], label, unpack=False)
   
   #attack not applied
   plt.imshow(adversarial.image[:,:,::-1])
   plt.show()