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Podcast: The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Episode: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang
Description: In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist at Google Brain and Sandy Huang, Phd Student in the EECS department at UC Berkeley, to discuss their work on the paper Adversarial Attacks on Neural Network Policies. If you’re a regular listener here you’ve probably heard of adversarial attacks, and have seen examples of deep learning based object detectors that can be fooled into thinking that, for example, a giraffe is actually a school bus, by injecting some imperceptible noise into the image. Well, Sandy and Ian’s paper sits at the intersection of adversarial attacks...