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S3 Lab - Software & Systems Security Laboratory The University of Texas at Dallas

trusted computing publications (see more about trusted computing)

PAVE: Information Flow Control for Privacy-preserving Online Data Processing Services
Minkyung Park, Jaeseung Choi, Hyeonmin Lee, and Taekyoung Kwon
In ASPLOS 2025 [ pdf :: bibtex ]
TZ-DATASHIELD: Automated Data Protection for Embedded Systems via Data-Flow-Based Compartmentalization
Zelun Kong, Minkyung Park, Le Guan, Ning Zhang, and Chung Hwan Kim
In NDSS 2025 [ pdf :: slides :: code :: bibtex ]
Building GPU TEEs using CPU Secure Enclaves with GEVisor
Xiaolong Wu, Dave (Jing) Tian, and Chung Hwan Kim
In SOCC 2023 [ pdf :: slides :: code :: bibtex ]
Confidential Execution of Deep Learning Inference at the Untrusted Edge with ARM TrustZone
Md Shihabul Islam, Mahmoud Zamani, Chung Hwan Kim, Latifur Khan, and Kevin Hamlen
In CODASPY 2023 [ pdf :: slides :: code :: bibtex ]
Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors
Kyungtae Kim, Chung Hwan Kim, Junghwan 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 [ 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 ]