research
∙
06/03/2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout
Deep neural networks(DNNs) is vulnerable to be attacked by adversarial e...
share
research
∙
02/23/2019
A visual encoding model based on deep neural networks and transfer learning
Background: Building visual encoding models to accurately predict visual...
research
∙
12/22/2018
Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain
Despite the remarkable similarities between deep neural networks (DNN) a...
research
∙
07/29/2016