S3 Lab - Software & Systems Security Laboratory

trusted computing people

John Junghwan Rhee
John Junghwan Rhee
Affiliated Faculty
Deeprangshu Pal
Deeprangshu Pal
Masters student

trusted computing projects

Trusted Things Trusted Things

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

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.


Cloud Application Function Enclave (CAFE) is an end-to-end framework for confidential distribution and execution of cloud applications. Attackers with a reverse-engineering capability may steal or manipulate sensitive application logic. CAFE prevents such attempts using hypervisor- and hardware-based techniques.

recent trusted computing publications (see all)

Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors
Kyungtae Kim, Chung Hwan Kim, John Junghwan Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, and Byoungyoung Lee
In SOCC 2020 [ pdf :: slides :: bibtex ]