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I am trying foolbox using Keras with TensorFlow backend. I am learning with the ResNet50 model pretrained with imagenet.
My question is when I do a batch FGSM attack (basically loop over the differ…
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I am trying to attack on an image using cleverhans package and following is my code:
wrap = KerasModelWrapper(model)
fgsm = FastGradientMethod(wrap, sess=sess)
fgsm_params = {'eps': 0.3,
…
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Hi, thanks for your great work. I am so interested in your work and i have a confusion about the algorithm. The output of the transformation is resized to [330,330,3], while the original image is [29…
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I am trying to run a boundry attack on VGG16 keras model. My image/model setup runs successfully on
attack = foolbox.attacks.FGSM(fmodel, distance=foolbox.distances.Linf)
adversarials = attack(imag…
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Hi, Zhang,
First, thanks for releasing the code. The code is simple and easy to understand, beautiful work!
From the code, I see you are trying to build a network to regress some kind of featu…
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Are there any plans to support Tensorflow 2? Looks like underlined API used are still 1.X /14 based?
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AttributeErr…
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Following the documentation, I was able to train and evaluate a model on cifar10.
I trained a model with 100 epoch and got an accuracy of 87% with 30 fingerprints and tested against the CW-L2 attack,…
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Batch Attack is in practice implemented through generator using single attack multiple times? The running time is as folows. So, what's the meaning by doing so???
### Single Attack(1*100)
| Met…
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loss_object = tf.keras.losses.CategoricalCrossentropy()
def create_adversarial_pattern(input_image, input_label):
with tf.GradientTape() as tape:
tape.watch(input_image)
prediction = m…
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Hi! Today I faced a problem with foolbox.
My data is vectors with related tags. But each attack faced the same problem as below:
`fmodel = foolbox.models.KerasModel(model, bounds=(-1, 1))
attack = …