Neural Structured Learning - Part 4: Adversarial learning for image classification

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Welcome to the 4th episode of this Neural Structured Learning series. In this video, we are going to talk about learning with implicit structured signals constructed from adversarial learning.

  1. TensorFlow
  2. Neural structured learning
  3. neural structured learning framework
  4. adversarial learning for image classification
  5. image classification
  6. adversarial neighbor
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Does the "robustness" provided by this method mostly just increase robustness against adversarial examples generated in the same manner as this model, or is it more general/broad robustness? In other words, let's say another new method to generate adversarial examples is discovered/used, will this method be robust against that new method as well (without having knowledge/training of what the new method is)?

josephedappully
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perturbation based on reverse gradients... of what?

randomas
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7:40 Google does not know how to youtube.

zyxwvutsrqponmlkh
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apart from correctly classifying of the adversarial neighbors, is there any advantage of the model trained this way? Is there any influence on test accuracy, for example?

nikopumo-ri