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Attacking Adversarial Attacks as A Defense
The dataset used in the paper is not explicitly described, but it is mentioned that the authors examined state-of-the-art attacks of various kinds. -
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variat...
Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural... -
MNIST and CIFAR-10
The MNIST dataset is a large dataset of handwritten digits, and the CIFAR-10 dataset is a dataset of images from 10 different classes. -
Multiple Domain Cyberspace Attack and Defense Game Model
The dataset used in the paper is a multiple domain cyberspace attack and defense game model based on reinforcement learning.
