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A comment on Adversarial Learning for Good: On Deep Learning Blindspots. Parent comment

Re:Adversarial Learning for Good: On Deep Learning Blindspots by marcosdumay on Friday December 29, 2017 @03:21PM (#16031732)
If you don't change the data, why would the network change its results with just some more learning iterations? It's already converging.
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Re:Adversarial Learning for Good: On Deep Learning Blindspots by beefield on Saturday December 30, 2017 @03:25AM (#16034404)
Because if I understtod anything correctly, the methods tries to find the smallest possible changes that causes the network to make the incorrect classofication. And these smallest possible changes just might be very sensitive to whatever small random ripple weight changes a network has. But I am far from neural network expert, so I can't really answer.
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