Although supervised learning has been highly successful in improving the...
Deep Neural Network (DNN) models are increasingly evaluated using new
re...
Predictions made by deep neural networks were shown to be highly sensiti...
Although ImageNet was initially proposed as a dataset for performance
be...
Although the adoption rate of deep neural networks (DNNs) has tremendous...
Given their substantial success in addressing a wide range of computer v...
Regional adversarial attacks often rely on complicated methods for gener...
After the discovery of adversarial examples and their adverse effects on...
Deep learning models, which are increasingly being used in the field of
...
Detecting adversarial examples currently stands as one of the biggest
ch...
Even before deep learning architectures became the de facto models for
c...