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S3 Lab - Software & Systems Security Laboratory

trusted computing people

Shihabul Islam
Shihabul Islam
PhD student
Zelun Kong
Zelun Kong
PhD 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.

CAFE CAFE

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, Junghwan "John" Rhee, 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 [ 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 ]