6 datasets found

Voice conversion (VC) is the process of converting the voice of the source speaker to the target speaker's voice without changing the linguistic information.

Graph embedding is an effective method to represent graph data in a low dimensional space for graph analytics. Most existing embedding algorithms typically focus on preserving...

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training.

The Squares dataset is a synthetic dataset composed of images with 224x224 pixels of centered squares with sides of 142 or 88 pixels.

The Spheres dataset is a synthetic dataset for which the data for each class lies in one of two concentric spheres, inspired by the work of Gilmer et al. (2018).

The MNIST and CIFAR10 datasets are used to evaluate the proposed Adversarial Training with Transferable Adversarial Examples (ATTA) method.