[1605.09782v6] Adversarial Feature Learning

The ability of the Generative Adversarial Networks (GANs) framework to learn generative models mapping from simple latent distributions to arbitrarily complex data distributions has been...

Adversarial | Papers With Code

Browse 31 tasks • 61 datasets • 57

Researchers detail TrojAI, a framework for hardening AI models against adve

In a preprint paper, researchers at Johns Hopkins detail TrojAI, a framework for hardening AI models against adversarial attacks.

An End to End Introduction to GANs using Keras - MLWhiz

I bet most of us have seen a lot of AI-generated people faces in recent times, be it in papers or blogs. We have reached a stage where it is becoming increasingly difficult to distinguish between actual human faces and faces that are generated by Artificial Intelligence. In this…

Bayesian Inference with Generative Adversarial Network Priors

A blog about Compressive Sensing, Computational Imaging, Machine Learning. Using priors to avoid the curse of dimensionality arising in Big Data.

https://blog.floydhub.com/introduction-to-adversarial-machine-learning/

Open Questions about Generative Adversarial Networks

What we'd like to find out about GANs that we don't know yet.

Generative Adversarial Networks - The Story So Far

Nvidia’s GauGAN has been used to create 500,000 images

Nvidia's GauGAN tool has been used to create more than 500,000 images, the company announced at the SIGGRAPH 2019 conference in Los Angeles.

How Adversarial Attacks Work

Emil Mikhailov is the founder of XIX.ai [http://XIX.ai] (YC W17). Roman Trusov is a researcher at XIX.ai. Recent studies by Google Brain have shown that any machine learning classifier can be tricked to give incorrect predictions, and with a little bit of skill, you can get them…