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EPISODE · Aug 28, 2017 · 16 MIN

Adversarial Examples

from Linear Digressions · host Katie Malone

Even as we rely more and more on machine learning algorithms to help with everyday decision-making, we're learning more and more about how they're frighteningly easy to fool sometimes. Today we have a roundup of a few successful efforts to create robust adversarial examples, including what it means for an adversarial example to be robust and what this might mean for machine learning in the future.

Episode metadata supplied by the publisher feed · Published Aug 28, 2017

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Adversarial Examples

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