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The discovery of the paper was that these adversarial examples worked on other neural networks. Including ones trained on entirely different datasets. They are
by Houshalter 12y ago
The discovery of the paper was that these adversarial examples worked on other neural networks. Including ones trained on entirely different datasets. They are not specific to a single NN.
- deleted 12y ago[deleted]
- varelse 12y agoWell... Not really... They split the MNIST data set and trained on disparate halves. Which is to say I wouldn't generalize from two networks trained on far less than 10x their parameter counts all the way to all neural networks in existence, but of course, your opinions may vary...