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TAO Member Event

Building Secure and Reliable Deep Learning Systems from a Systems Security Perspective

Sanghyun Hong, Assistant Professor, Computer Science, Oregon State University

How can we build secure and reliable deep learning systems, e.g., autonomous cars or AI-assisted robotic surgery, for tomorrow? Sanghyun Hong will discuss his research studying computational properties of deep neural networks from a systems security perspective that has exposed critical security threats and has steered the industrial practices.

The event is finished.

Date

Nov 23 2021
Expired!

Time

11:00 am - 11:45 am

More Info

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Labels

Virtual Event
Category

Organizer

Oregon State University
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