Name
Title | ||
|---|---|---|
The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection. |
Abstract | ||
|---|---|---|
We introduce a novel artificial neural network architecture that integrates robustness to adversarial input in the network structure. The main idea of our approach is to force the network to make predictions on what the given instance of the class under consideration would look like and subsequently test those predictions. By forcing the network to redraw the relevant parts of the image and subsequently comparing this new image to the original, we are having the network give a proof of the presence of the object. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Learning | Nervous system network models,Architecture,Computer science,Convolutional neural network,Robustness (computer science),Artificial intelligence,Artificial neural network,Machine learning,Network structure |
DocType | Volume | Citations |
Journal | abs/1604.04428 | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harm Berntsen | 1 | 0 | 0.34 |
| Wouter Kuijper | 2 | 0 | 1.01 |
| Tom Heskes | 3 | 1519 | 198.44 |