RYC-98 / SFVA

Official codes for SFVA (Accepted by Information Sciences)

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Crafting transferable adversarial examples via contaminating the salient feature variance

Requirements

  • Python 3.6.8
  • Keras 2.2.4
  • Tensorflow 1.14.0
  • Numpy 1.16.2
  • Pillow 6.0.0
  • Scipy 1.2.1

Experiments

You should download the pretrained models from ( https://github.com/tensorflow/models/tree/master/research/slim, and https://github.com/tensorflow/models/tree/archive/research/adv_imagenet_models) before running the code. Then place these model checkpoint files in ./models_tf.

Main Results

Number of copies $N$ is set to 25.

Results

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Official codes for SFVA (Accepted by Information Sciences)


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