When
3:30 PM Sunday
Where
Town Square B
Silicon Valley Code Camp : October 19 & 20, 2019session

Deep Learning's Most Dangerous Vulnerability: Adversarial Attacks

In this session, Luba Gloukhova will survey the various forms of adversarial attacks against neural networks that have emerged, and the state of the art methods for defense.

About This Session

Groundbreaking theory, big data, and compute power — with this trifecta, the extraordinary advent of deep learning seems almost inevitable. It propels computer vision and real-time operational and industrial applications to new heights. Inevitably, our reliance on deep learning increases as we ride this accelerating wave of progress. And yet, this very momentum could be propelling us to a dangerous place. Deep learning's deployment exposes new and particular vulnerabilities. In this session, Luba Gloukhova will survey the various forms of adversarial attacks against neural networks that have emerged, and the state of the art methods for defense.

Time: 3:30 PM Sunday    Room: Town Square B 

The Speaker(s)

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Luba Gloukhova

Data Scientist , Self

Consultant & Speaker, Data Science