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…)
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ml-videos - A collection of video resources for machine learning...
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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…)
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Posted by George Dahl, Research Scientist, Google Brain Team Recently there have been many exciting applications of machine learning (ML) ... (more…)
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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…)
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