Chung Hwan Kim (김충환)

Assistant Professor, Department of Computer Science, University of Texas at Dallas
800 W. Campbell Road, MS EC31, Richardson, TX 75080–3021

email / ECSS 3.201

CV / Google Scholar / GitLab

Software & Systems Security Laboratory

I am actively looking for motivated students to research with. Please look at this page if you are interested.

Research Interests

Computer Systems Security, Cyber-Physical Security, Software Security and Reliability.

Teaching [ recent / all ]

Operating Systems Concepts (CS/SE 4348): Fall 2023, Fall 2022.

Software & Systems Security Seminar: Summer 2023, Summer 2022, Spring 2021.

Information Security (CS 6324): Spring 2023, Spring 2022, Spring 2021.

Special Topics in Computer Science - Security of CPS & IoT Systems (CS 6301): Fall 2021, Fall 2020.

Publications [ recent / all ]

2024

FreePart: Hardening Data Processing Software via Framework-based Partitioning and Isolation (to appear).
Ali Ahmad, Gang Wang, Chung Hwan Kim, Suman Jana, Zhiqiang Lin, Yonghwi Kwon.
In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2024),
San Diego, CA, April 2024.

2023

Poster: Deterministic Replay and Debugging for Robotic Systems (to appear).
Md Nazmus Sakib, Seungmok Kim, Zelun Kong, Seulbae Kim, Kyu Hyung Lee, Heejo Lee, Chung Hwan Kim.
In Proceedings of the 39th Annual Computer Security Applications Conference (ACSAC 2023),
Austin, TX, December 2023.

Building GPU TEEs using CPU Secure Enclaves with GEVisor. [ paper ] [ slides ]
Xiaolong Wu, Dave (Jing) Tian, Chung Hwan Kim.
In Proceedings of the 14th ACM Symposium on Cloud Computing (SOCC 2023),
Santa Cruz, CA, October 2023.

Confidential Execution of Deep Learning Inference at the Untrusted Edge with ARM TrustZone. [ paper ] [ slides ]
Md Shihabul Islam, Mahmoud Zamani, Chung Hwan Kim, Latifur Khan, Kevin Hamlen.
In Proceedings of the 13th ACM Conference on Data and Application Security and Privacy (CODASPY 2023),
Charlotte, NC, April 2023.

2022

DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing. [ paper ] [ extended paper ] [ slides ] [ website ] [ code ]
Seulbae Kim, Major Liu, Junghwan "John" Rhee, Yuseok Jeon, Yonghwi Kwon, Chung Hwan Kim.
In Proceedings of the 29th ACM Conference on Computer and Communications Security (CCS 2022),
Los Angeles, CA, November 2022.

Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles. [ paper ]
Kyeongseok Yang*, Sudharssan Mohan*, Yonghwi Kwon, Heejo Lee, Chung Hwan Kim.
In Proceedings of the 29th ACM Conference on Computer and Communications Security (CCS 2022),
Los Angeles, CA, November 2022. *Equal contribution.

2021

PASAN: Detecting Peripheral Access Concurrency Bugs within Bare-metal Embedded Applications. [ paper ] [ slides ]
Taegyu Kim, Vireshwar Kumar, Junghwan "John" Rhee, Jizhou Chen, Kyungtae Kim, Chung Hwan Kim, Dongyan Xu, Dave (Jing) Tian.
In Proceedings of the 30th USENIX Security Symposium (Security 2021),
Virtual Event, August 2021.

Find My Sloths: Automated Comparative Analysis of How Real Enterprise Computers Keep Up with the Software Update Races. [ paper ] [ slides ]
Omid Setayeshfar, Junghwan "John" Rhee, Chung Hwan Kim, Kyu Hyung Lee.
In Proceedings of the 18th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA 2021),
Virtual Event, July 2021.

2020

Vessels: Efficient and Scalable Deep Learning Prediction on Trusted Processors. [ paper ] [ slides ] [ video ]
Kyungtae Kim, Chung Hwan Kim, Junghwan "John" Rhee, Xiao Yu, Haifeng Chen, Dave (Jing) Tian, Byoungyoung Lee.
In Proceedings of the 11th ACM Symposium on Cloud Computing (SOCC 2020),
Virtual Event, October 2020.

Detecting Malware Injection with Program-DNS Behavior. [ paper ]
Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pärn, Zhenyu Wu, Junghwan Rhee, Chung Hwan Kim, Mung Chiang, Prateek Mittal.
In Proceedings of the 5th IEEE European Symposium on Security and Privacy (EuroS&P 2020),
Virtual Event, September 2020.

From Control Model to Program: Investigating Robotic Aerial Vehicle Accidents with Mayday. [ paper ] [ slides ]
Taegyu Kim, Chung Hwan Kim, Altay Ozen, Fan Fei, Zhan Tu, Xiangyu Zhang, Xinyan Deng, Dave (Jing) Tian, Dongyan Xu.
In Proceedings of the 29th USENIX Security Symposium (Security 2020),
Virtual Event, August 2020.

CAFE: A Virtualization-Based Approach to Protecting Sensitive Cloud Application Logic Confidentiality.
Sungjin Park, Chung Hwan Kim, Junghwan Rhee, Jongjin Won, Taisook Han, Dongyan Xu.
IEEE Transactions on Dependable and Secure Computing (TDSC),
17(4), July-August 2020.

HFL: Hybrid Fuzzing on the Linux Kernel. [ paper ] [ slides ]
Kyungtae Kim, Dae R. Jeong, Chung Hwan Kim, Yeongjin Jang, Insik Shin, Byoungyoung Lee.
In Proceedings of the 27th Network and Distributed System Security Symposium (NDSS 2020),
San Diego, CA, February 2020.

2019

Progressive Processing of System Behavioral Query. [ paper ] [ slides ]
Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, Haifeng Chen.
In Proceedings of the 35th Annual Computer Security Applications Conference (ACSAC 2019),
San Juan, PR, December 2019.

RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing. [ paper ] [ slides ]
Taegyu Kim, Chung Hwan Kim, Junghwan Rhee, Fan Fei, Zhan Tu, Gregory Walkup, Xiangyu Zhang, Xinyan Deng, Dongyan Xu.
In Proceedings of the 28th USENIX Security Symposium (Security 2019),
Santa Clara, CA, July 2019.

PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications. [ paper ] [ slides ]
Yuseok Jeon, Junghwan Rhee, Chung Hwan Kim, Zhichun Li, Mathias Payer, Byungyoung Lee, Zhenyu Wu.
In Proceedings of the 9th ACM Conference on Data and Application Security and Privacy (CODASPY 2019),
Dallas, TX, March 2019.

2018

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. [ paper ] [ slides ] [ website ]
Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal.
In Proceedings of the 27th USENIX Security Symposium (Security 2018),
Baltimore, MD, August 2018.
Top 10 Finalist for CSAW Best Applied Research Paper Award.

Securing Real-Time Microcontroller Systems through Customized Memory View Switching. [ paper ] [ slides ] [ video ]
Chung Hwan Kim, Taegyu Kim, Hongjun Choi, Zhongshu Gu, Byoungyoung Lee, Xiangyu Zhang, Dongyan Xu.
In Proceedings of the 25th Network and Distributed System Security Symposium (NDSS 2018),
San Diego, CA, February 2018.

2017

RevARM: A Platform-Agnostic ARM Binary Rewriter for Security Applications. [ paper ] [ slides ]
Taegyu Kim, Chung Hwan Kim, Hongjun Choi, Yonghwi Kwon, Brendan Saltaformaggio, Xiangyu Zhang, Dongyan Xu.
In Proceedings of the 33rd Annual Computer Security Applications Conference (ACSAC 2017),
Orlando, FL, December 2017.

J-Force: Forced Execution on JavaScript. [ paper ] [ slides ]
Kyungtae Kim, I Luk Kim, Chung Hwan Kim, Yonghwi Kwon, Yunhui Zheng, Xiangyu Zhang, Dongyan Xu.
In Proceedings of the 26th International World Wide Web Conference (WWW 2017),
Perth, WA, Australia, April 2017.

2016

PerfGuard: Binary-Centric Application Performance Monitoring in Production Environments. [ paper ] [ slides ]
Chung Hwan Kim, Junghwan Rhee, Kyu Hyung Lee, Xiangyu Zhang, Dongyan Xu.
In Proceedings of the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2016),
Seattle, WA, November 2016.

2015

Accurate, Low Cost and Instrumentation-Free Security Audit Logging for Windows. [ paper ] [ slides ]
Shiqing Ma, Kyu Hyung Lee, Chung Hwan Kim, Junghwan Rhee, Xiangyu Zhang, Dongyan Xu.
In Proceedings of the 31st Annual Computer Security Applications Conference (ACSAC 2015),
Los Angeles, CA, December 2015.

CAFE: A Virtualization-Based Approach to Protecting Sensitive Cloud Application Logic Confidentiality. [ paper ] [ slides ]
Chung Hwan Kim, Sungjin Park, Junghwan Rhee, Jongjin Won, Taisook Han, Dongyan Xu.
In Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security (ASIACCS 2015),
Singapore, April 2015.

2014

IntroPerf: Transparent Context-Sensitive Multi-Layer Performance Inference using System Stack Traces. [ paper ] [ slides ] [ poster ]
Chung Hwan Kim, Junghwan Rhee, Hui Zhang, Nipun Arora, Guofei Jiang, Xiangyu Zhang, Dongyan Xu.
In Proceedings of the 2014 ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2014),
Austin, TX, June 2014.