Abstract

As computation has increasingly migrated to shared public cloud

platforms, protecting sensitive data and intellectual property from

in-tenant vulnerabilities has become crucial. While traditional

security measures protect data in transit and at rest, a significant

gap remains in securing data during processing. This talk introduces

Confidential Computing as a solution to this challenge, focusing on

the hardware extensions provided by AMD's Secure Encrypted

Virtualization (SEV) technology. I will discuss how SEV enables secure

computation within virtual machines running on untrusted cloud

environments and present my recent research on the security and

performance aspects of these systems. The findings from my work aim to

illuminate the path toward the widespread adoption of Confidential

Computing as a cornerstone of next-generation cloud security, ensuring

data safety without sacrificing computational efficiency.

Bio.

Dr. Shih-Wei Li is an Assistant Professor in the Department of

Computer Science at National Taiwan University. He received his Ph.D.

in Computer Science from Columbia University in 2021. Dr. Li’s work

has led to key breakthroughs in the widely used Linux KVM hypervisor,

significantly advancing its deployment and development on the Arm

architecture. His research has been published in premier security and

operating systems conferences, including IEEE S&P, USENIX Security,

SOSP, and ASPLOS. His research interests span operating systems,

computer security, computer architecture, and formal methods. He is

currently interested in applying hardware and mathematical methods to

further secure emerging system deployments. He has actively engaged in the research community, serving on the technical program committees of leading conferences, including IEEE S&P, NDSS, and ASPLOS. 

All faculty and students are welcome to join.