Defending Against Adversarial Attacks

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Defending Against Adversarial Attacks

FromData Skeptic

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Length:

31 minutes

Released:

Jun 22, 2018

Format:

Podcast episode

Description

In this week’s episode, our host Kyle interviews Gokula Krishnan from ETH Zurich, about his recent contributions to defenses against adversarial attacks. The discussion centers around his latest paper, titled “Defending Against Adversarial Attacks by Leveraging an Entire GAN,” and his proposed algorithm, aptly named ‘Cowboy.’

Released:

Jun 22, 2018

Format:

Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

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Defending Against Adversarial Attacks

Defending Against Adversarial Attacks

Description

Titles in the series (100)

More Episodes from Data Skeptic

Related podcast episodes