Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety ...

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 ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

Researchers have used these models to predict the structure and function of proteins, and for applications such as identifying ... have begun using a type of algorithm known as a sparse autoencoder to ...