TensorFlow Tutorial #12 Adversarial Noise for MNIST

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How to create a single noise pattern that fools a neural network into mis-classifying all input images to a desired target-class. Demonstrated on the MNIST data-set.

This tutorial does NOT work with TensorFlow 2 and later versions, and it would take too much time and effort to update it.
  1. Hvass Laboratories
  2. Deep Learning
  3. TensorFlow
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Комментарии
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You are doing a great job with all these tutorials, thank you!!

alexfuster
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wow, very nice explanation. Thank you for this contribution Magnus

ktyewgy
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absolutely amazing . You just save me a lot of time . Thank you for your hard works .

TuNguyen-oxlt
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Respect and thanks for all of the tutorials. Just a small note for this "warning: please use GLOBAL_VARIABLES instead; VARIABLES will be removed after 2017-03-02."
In [18], you may use tf.GraphKeys.GLOBAL_VARIABLES instead of tf.GraphKeys.VARIABLES. I tried using tf.GraphKeys.variables and it still works.

mertsefatarhan
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I have a doubt . What is the use of adversarial Noise in real life .. please reply . Btw, nice explanation of all the tutorials..

sahiljindal