4 datasets found

The dataset used in the paper is the VGG dataset, which is a collection of images used for training and testing VGG models.

The dataset consists of 60,000 images of objects in 200 categories, with 300 images per category.

AlexNet by Krizhevsky et al. (2012), VGG by Simonyan & Zisserman (2015), GoogleNet (Szegedy et al., 2015) and ResNet (He et al., 2015) have seen state-of-the-art...

The VGG and ResNet DNNs are used as victim DNNs in the attack.