The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection
Nedap N.V.；Radboud University（拉德堡德大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
