Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
adversarial_features [2018/06/20 18:38]
admin
adversarial_features [2018/09/29 13:51] (current)
admin
Line 261: Line 261:
 https://​arxiv.org/​pdf/​1805.12177v1.pdf Why do deep convolutional networks generalize so https://​arxiv.org/​pdf/​1805.12177v1.pdf Why do deep convolutional networks generalize so
 poorly to small image transformations?​ poorly to small image transformations?​
 +
 +https://​arxiv.org/​abs/​1806.11146 Adversarial Reprogramming of Neural Networks
 +
 +https://​github.com/​anishathalye/​obfuscated-gradients
 +
 +https://​arxiv.org/​pdf/​1805.12152.pdf There Is No Free Lunch In Adversarial Robustness
 +(But There Are Unexpected Benefits)
 +An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
 +
 +https://​arxiv.org/​abs/​1807.03247 An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
 +
 +
 +https://​arxiv.org/​abs/​1808.03305The Elephant in the Room
 +
 +https://​openreview.net/​pdf?​id=S1xoy3CcYX ADVERSARIAL EXAMPLES ARE A NATURAL CONSEQUENCE
 +OF TEST ERROR IN NOISE