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I have not been able to successfully generate adversarial examples on the MNIST dataset when the model is trained in Keras.
Quite possibly I am doing something rather silly here.
The jupyter not…
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**Problem Summary**
I just tried to use `fine-tune` bidaf, and got the following error:
```
RuntimeError: index out of range at /Users/soumith/code/builder/wheel/pytorch-src/aten/src/TH/generic/TH…
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Using the new ImageDataGenerator (June 15 update), I get lower accuracy than the old ImageDataGenerator (using cv2).
I have changed the new ImageDataGenerator very slightly (tf.image.decode_png =>…
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Following the README, trying to execute:
`python craft_adv_samples.py -d=mnist -a=fgsm`
got me the following error:
```
Traceback (most recent call last):
File "craft_adv_samples.py", line 1…
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Hello, @carlini . Sorry to bother you again. I'm try to defense your attack. But there is a strange thing happened: the adversarial perturbations was damaged by saving the adversarial samples with sci…
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End-to-end speech synthesis should be considered in design.
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Foolbox currently only supports finding adversarial examples on samples that are correctly classified to begin with. If one tries to run an attack on an incorrectly classified sample, the following wa…
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Hi everyone !
I try to train a GAN on cifar10 to generate pretty images. But it seems unable to learn anything.
I tested the discriminator, and he seems to be the problem, because he learns noth…
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As is known, only generated samples are used to calculate adversarial loss for updating G net in classic gan. Here, I see that real image data was also used to calculate classification loss to update …