Episode 35: Attacking deep learning models

Episode 29 of the Data Science at Home podcast, hosted by Francesco Gadaleta, titled "Episode 35: Attacking deep learning models" was published on June 29, 2018 and runs 29 minutes.

June 29, 2018 ·29m · Data Science at Home

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Summary

Attacking deep learning models Compromising AI for fun and profit Deep learning models have shown very promising results in computer vision and sound recognition. As more and more deep learning based systems get integrated in disparate domains, they will keep affecting the life of people. Autonomous vehicles, medical imaging and banking applications, surveillance cameras and drones, digital assistants, are only a few real applications where deep learning plays a fundamental role. A malfunction in any of these applications will affect the quality of such integrated systems and compromise the security of the individuals who directly or indirectly use them. In this episode, we explain how machine learning models can be attacked and what we can do to protect intelligent systems from being compromised.

Episode Description

Attacking deep learning models Compromising AI for fun and profit

Deep learning models have shown very promising results in computer vision and sound recognition. As more and more deep learning based systems get integrated in disparate domains, they will keep affecting the life of people. Autonomous vehicles, medical imaging and banking applications, surveillance cameras and drones, digital assistants, are only a few real applications where deep learning plays a fundamental role. A malfunction in any of these applications will affect the quality of such integrated systems and compromise the security of the individuals who directly or indirectly use them.

In this episode, we explain how machine learning models can be attacked and what we can do to protect intelligent systems from being compromised.