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A Comprehensive Evaluation Framework for Deep Model Robustness
Deep neural networks (DNNs) have achieved remarkable performance across a wide range of applications, while they are vulnerable to adversarial examples, which motivates the... -
Fashion-MNIST, KMNIST and SVHN datasets
Fashion-MNIST, KMNIST and SVHN datasets used for benchmarking GANs -
CIFAR-10, CIFAR-100, FashionMNIST, and SVHN datasets
The dataset used in the paper is a benchmark dataset for multi-class image classification: CIFAR-10, CIFAR-100, FashionMNIST, and SVHN. -
CIFAR10 and SVHN datasets
The dataset used in the paper is the CIFAR10 and SVHN datasets, which are used to evaluate the performance of the robust models. -
CEs dataset
The dataset used in the paper is a counterfactual examples (CEs) dataset, which is generated using a diffusion model. The dataset consists of images from the CIFAR10 and SVHN... -
Population Based Augmentation
A key challenge in leveraging data augmentation for neural network training is choosing an effective augmentation policy from a large search space of candidate operations. -
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST -
Visual Domain Adaptation
The MNIST, MNIST-M, Street View House Numbers (SVHN), Synthetic Digits (SYN DIGITS), CIFAR-10 and STL-10 datasets are used for visual domain adaptation experiments. -
CIFAR10, CIFAR100, SVHN, ImageNet
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used four widely used datasets: CIFAR10, CIFAR100, SVHN, and ImageNet. -
CIFAR-10, CIFAR-100, SVHN
The dataset used in the paper is CIFAR-10 and CIFAR-100, which are two popular image classification datasets. SVHN is also used. -
MNIST, USPS, and SVHN
The MNIST, USPS, and SVHN datasets are digit datasets used for domain adaptation tasks. -
MNIST and SVHN datasets
MNIST dataset consists of 60,000 training and 10,000 testing samples, while SVHN consists of 73,257 training and 26,032 testing digital images. -
Street View House Numbers (SVHN)
The Street View House Numbers (SVHN) dataset used consist of 32x32 10,000 labelled image pool, 30,000 unlabelled pool and 26,032 testing pool. -
CIFAR-100 and SVHN
The dataset used in the paper is CIFAR-100 and SVHN, which are image classification datasets. -
CIFAR-10 and SVHN
The dataset used in the paper is the CIFAR-10 and SVHN datasets. CIFAR-10 is a dataset of 32x32 color images in 10 classes, while SVHN is a dataset of 32x32 color images of... -
CIFAR10, CIFAR100, and SVHN
CIFAR10, CIFAR100, and SVHN datasets -
SVHN Dataset
The dataset used in the paper is a collection of images from the SVHN dataset, along with labels. The dataset is used for image classification. -
MNIST, CIFAR-10, SVHN Datasets
The Modified National Institute of Standards and Technology database (MNIST), Canadian Institute For Advanced Research (CIFAR) and Street View House Numbers (SVHN) datasets are...
