S3 Lab - Software & Systems Security Laboratory
John Junghwan Rhee

John Junghwan Rhee

Affiliated Faculty
areas of interest security, program analysis, operating systems, cyber-physical systems, trusted computing, binary instrumentation
email jhrhee at gmail.com
web rhee.systems

John Junghwan Rhee is an Associate Professor in the Department of Computer Science at the University of Central Oklahoma. His research lies in system security, software security, cyber-physical system, ICS/IoT security, system provenance, cloud security, and end-host security. He previously worked as a senior researcher at NEC Laboratories America for nine years. For more information, please see his web page.

publications with s3 lab

2020
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 ]
Detecting Malware Injection with Program-DNS Behavior
Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pàˆrn, Zhenyu Wu, John Junghwan Rhee, Chung Hwan Kim, Mung Chiang, and Prateek Mittal
In EuroS&P 2020 [ pdf :: bibtex ]
2019
RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing
Taegyu Kim, Chung Hwan Kim, John Junghwan Rhee, Fan Fei, Zhan Tu, Gregory Walkup, Xiangyu Zhang, Xinyan Deng, and Dongyan Xu
In Security 2019 [ pdf :: slides :: bibtex ]
2016
2015
2014
IntroPerf: Transparent Context-Sensitive Multi-Layer Performance Inference using System Stack Traces
Chung Hwan Kim, John Junghwan Rhee, Hui Zhang, Nipun Arora, Guofei Jiang, Xiangyu Zhang, and Dongyan Xu
In SIGMETRICS 2014 [ pdf :: slides :: bibtex ]