Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they're like optical illusions for machines. In this post we'll show how adversarial examples work across differen... (more…)

ml-videos - A collection of video resources for machine learning...

To help support our community working remotely during COVID-19, we are making all work published by ACM in our Digital Library freely accessible through June 30, 2020. Learn more... (more…)

Posted by George Dahl, Research Scientist, Google Brain Team Recently there have been many exciting applications of machine learning (ML) ... (more…)

What is Machine Learning? How does it work? Can I use it? Should I use it? This 45 minute talk will help you answer questions like this, without delving deep... (more…)