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Thursday, January 24 • 10:00am - 10:25am
Adversarial Machine Learning

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Most machine learning algorithms are based on optimization: given a cost function, the algorithm adapts the parameters to reduce the cost. Adversarial machine learning is instead based on game theory: multiple "players" compete to each reduce their own cost, often at the expense of other players. In this talk I show how adversarial machine learning is related to many active machine learning research areas.

Speakers
avatar for Ian Goodfellow, Google Brain

Ian Goodfellow, Google Brain

Staff Research Scientist, Google Brain
Ian Goodfellow is a Staff Research Scientist at Google Brain. He is the lead author of the MIT Press textbook Deep Learning. In addition to generative models, he also studies security and privacy for machine learning. He has contributed to open source libraries including TensorFlow... Read More →


Thursday January 24, 2019 10:00am - 10:25am
Grand Ballroom Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA