A generative adversarial ... Data Using a Variational Autoencoder This article assumes you have an intermediate or better familiarity with a C-family programming language, preferably Python, and a ...

They describe it as an open source toolbox for generating adversarial examples, and they say it’s able to fool models in frameworks like Facebook’s PyTorch and Caffe2, MxNet, Keras ...

An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico." Modern Generative Adversarial Networks (GAN)s achieved ...

In this study, Insilico Medicine researchers developed a new model, the Bidirectional Adversarial Autoencoder, that learns a joint distribution of molecular structures and induced transcriptional ...

Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks ...

James McCaffrey of Microsoft Research explains a generative adversarial ... Autoencoder This article assumes you have an intermediate or better familiarity with a C-family programming language, ...