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. |