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S3 Lab - Software & Systems Security Laboratory

trusted computing people

Minkyung Park
Minkyung Park
Postdoctoral scholar
Zelun Kong
Zelun Kong
PhD student

trusted computing courses and seminar

Software & Systems Security Seminar

A group seminar to read and discuss papers from recent and imminent top-tier security conferences.

trusted computing projects

Trusted Things Trusted Things

The Trusted Things project develops new software systems to enable secure IoT leveraging trusted execution environment techniques.

Shear Shear

The Shear project creates a secure environment for the least-authority execution of over-privileged applications that may be exploited by adversaries to launch privileged attacks.

AI Vault AI Vault

The AI Vault project designs and develops a new trusted execution environment tailored to run artificial intelligence and machine learning programs on modern AI platforms (e.g., cloud and embedded devices) while providing strong data confidentiality and high efficiency.

recent trusted computing publications (see all)

Building GPU TEEs using CPU Secure Enclaves with GEVisor
Xiaolong Wu, Dave (Jing) Tian, and Chung Hwan Kim
In SOCC 2023 [ pdf :: slides :: bibtex ]
Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors
Kyungtae Kim, Chung Hwan Kim, Junghwan , Xiao Yu, Haifeng Chen, Dave (Jing) Tian, and Byoungyoung Lee
In SOCC 2020 [ pdf :: slides :: bibtex ]
CAFE: A Virtualization-Based Approach to Protecting Sensitive Cloud Application Logic Confidentiality
Sungjin Park, Chung Hwan Kim, Junghwan Rhee, Jongjin Won, Taisook Han, and Dongyan Xu
In TDSC 17(4), July 2020 [ pdf :: bibtex ]
CAFE: A Virtualization-Based Approach to Protecting Sensitive Cloud Application Logic Confidentiality
Chung Hwan Kim, Sungjin Park, Junghwan Rhee, Jongjin Won, Taisook Han, and Dongyan Xu
In ASIACCS 2015 [ pdf :: slides :: bibtex ]