Their models are of the autoencoder type, that self-organises the information and finds interrelation patterns in the large amount of data. To test their model, the LiU researchers compared it ...

An autoencoder is a specific type of neural network. The main disadvantage of using a neural autoencoder is that you must fine-tune the training parameters (max epochs, learning rate, batch size) and ...

These altered inputs create a security risk in applications with real-world consequences, such as self-driving cars, robotics and financial services. We propose an unsupervised method for detecting ...