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

Chung Hwan Kim

Faculty
areas of interest security, program analysis, operating systems, cyber-physical systems, trusted computing, software testing, programming languages, binary analysis & instrumentation
email chungkim at utdallas.edu
web chungkim.io
office ECSS 3.201
advisees Sudharssan Mohan, Zelun Kong, Minkyung Park, Sai Tharun Reddy Mulka, Jaehyun Park, Ruoyu Xu
alumni Benjamin Carroll, Md Nazmus Sakib, Benjamin Stark, Ishpreet Bhasin, Vasuki Shankar, Cindy Chang, Major Liu, Alex Armstrong, Deeprangshu Pal, Shiven Pandya, Ahrim Cho, Md Shihabul Islam, Nate Simmons, Veer Shah, Vishvak Bandi

Chung Hwan Kim is an Assistant Professor in the Department of Computer Science at UT Dallas, where he leads the S3 Lab. He has been honored with an NSF CAREER Award, a UT Dallas New Faculty Research Symposium Grant award, and recognition as a top 10 finalist for the CSAW Best Applied Research Paper Award.

For a full CV and more information, see his web page.

publications with s3lab

2026
DNN Latency Sequencing: Extracting DNN Architectures from Intel SGX Enclaves with Single-Stepping Attacks (to appear)
Minkyung Park, Zelun Kong, Dave (Jing) Tian, Z. Berkay Celik, and Chung Hwan Kim
In NDSS 2026 [ code :: bibtex ]
2025
IMUFUZZER: Resilience-based Discovery of Signal Injection Attacks on Robotic Aerial Vehicles (to appear)
Sudharssan Mohan, Kyeongseok Yang, Zelun Kong, Yonghwi Kwon, Junghwan , Tyler Summers, Hongjun Choi, Heejo Lee, and Chung Hwan Kim
In ASE 2025 [ code :: 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 ]
2024
FreePart: Hardening Data Processing Software via Framework-based Partitioning and Isolation
Ali Ahad, Gang Wang, Chung Hwan Kim, Suman Jana, Zhiqiang Lin, and Yonghwi Kwon
In ASPLOS 2024 [ pdf :: bibtex ]
2023
Poster: Deterministic Replay and Debugging for Robotic Systems
Md Nazmus Sakib, Seungmok Kim, Zelun Kong, Seulbae Kim, Kyu Hyung Lee, Heejo Lee, and Chung Hwan Kim
In ACSAC 2023 [ pdf :: 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 ]
2022
Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles
Kyeongseok Yang, Sudharssan Mohan, Yonghwi Kwon, Heejo Lee, and Chung Hwan Kim
In CCS 2022 [ pdf :: bibtex ]
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing
Seulbae Kim, Major Liu, Junghwan Rhee, Yuseok Jeon, Yonghwi Kwon, and Chung Hwan Kim
In CCS 2022 [ pdf :: slides :: website :: code :: bibtex ]
2021
Poster: AutoInsight: A Comprehensive Testing and Analysis Platform for Autonomous Driving Systems
Major Liu, Seulbae Kim, Seungmok Kim, Congzhou Li, and Chung Hwan Kim
In Fed Supernova 2021 [ pdf :: bibtex ]
PASAN: Detecting Peripheral Access Concurrency Bugs within Bare-metal Embedded Applications
Taegyu Kim, Vireshwar Kumar, Junghwan Rhee, Jizhou Chen, Kyungtae Kim, Chung Hwan Kim, Dongyan Xu, and Dave (Jing) Tian
In USENIX Security 2021 [ pdf :: slides :: bibtex ]
Find My Sloths: Automated Comparative Analysis of How Real Enterprise Computers Keep Up with the Software Update Races
Omid Setayeshfar, Junghwan Rhee, Chung Hwan Kim, and Kyu Hyung Lee
In DIMVA 2021 [ pdf :: slides :: bibtex ]
2020
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 ]
Detecting Malware Injection with Program-DNS Behavior
Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pàˆrn, Zhenyu Wu, Junghwan Rhee, Chung Hwan Kim, Mung Chiang, and Prateek Mittal
In EuroS&P 2020 [ pdf :: bibtex ]
From Control Model to Program: Investigating Robotic Aerial Vehicle Accidents with MAYDAY
Taegyu Kim, Chung Hwan Kim, Altay Ozen, Fan Fei, Zhan Tu, Xiangyu Zhang, Xinyan Deng, Dave (Jing) Tian, and Dongyan Xu
In USENIX Security 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 ]
HFL: Hybrid Fuzzing on the Linux Kernel
Kyungtae Kim, Dae R. Jeong, Chung Hwan Kim, Yeongjin Jang, Insik Shin, and Byoungyoung Lee
In NDSS 2020 [ pdf :: slides :: bibtex ]
2019
Progressive Processing of System Behavioral Query
Jiaping Gui, Xusheng Xiao, Ding Li, Chung Hwan Kim, and Haifeng Chen
In ACSAC 2019 [ pdf :: slides :: bibtex ]
RVFuzzer: Finding Input Validation Bugs in Robotic Vehicles through Control-Guided Testing
Taegyu Kim, Chung Hwan Kim, Junghwan Rhee, Fan Fei, Zhan Tu, Gregory Walkup, Xiangyu Zhang, Xinyan Deng, and Dongyan Xu
In USENIX Security 2019 [ pdf :: slides :: bibtex ]
PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications
Yuseok Jeon, Junghwan Rhee, Chung Hwan Kim, Zhichun Li, Mathias Payer, Byungyoung Lee, and Zhenyu Wu
In CODASPY 2019 [ pdf :: slides :: bibtex ]
2018
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection
Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, and Prateek Mittal
In USENIX Security 2018 (award paper) [ pdf :: slides :: bibtex ]
Securing Real-Time Microcontroller Systems through Customized Memory View Switching
Chung Hwan Kim, Taegyu Kim, Hongjun Choi, Zhongshu Gu, Xiangyu Zhang, and Dongyan Xu
In NDSS 2018 [ pdf :: slides :: bibtex ]
2017
RevARM: A Platform-Agnostic ARM Binary Rewriter for Security Applications
Taegyu Kim, Chung Hwan Kim, Hongjun Choi, Yonghwi Kwon, Brendan Saltaformaggio, Xiangyu Zhang, and Dongyan Xu
In ACSAC 2017 [ pdf :: slides :: bibtex ]
J-Force: Forced Execution on JavaScript
Kyungtae Kim, I Luk Kim, Chung Hwan Kim, Yonghwi Kwon, Yunhui Zheng, Xiangyu Zhang, and Dongyan Xu
In WWW 2017 [ pdf :: slides :: bibtex ]
2016
PerfGuard: Binary-Centric Application Performance Monitoring in Production Environments
Chung Hwan Kim, Junghwan Rhee, Kyu Hyung Lee, Xiangyu Zhang, and Dongyan Xu
In FSE 2016 [ pdf :: slides :: bibtex ]
2015
Accurate, Low Cost and Instrumentation-Free Security Audit Logging for Windows
Shiqing Ma, Kyu Hyung Lee, Chung Hwan Kim, Junghwan Rhee, Xiangyu Zhang, and Dongyan Xu
In ACSAC 2015 [ pdf :: slides :: 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 ]
2014
IntroPerf: Transparent Context-Sensitive Multi-Layer Performance Inference using System Stack Traces
Chung Hwan Kim, Junghwan Rhee, Hui Zhang, Nipun Arora, Guofei Jiang, Xiangyu Zhang, and Dongyan Xu
In SIGMETRICS 2014 [ pdf :: slides :: bibtex ]