Knowledge Transfer from LLMs to Provenance Analysis: A Semantic-Augmented Method for APT Detection - Fei Zuo; Junghwan Rhee; Yung Ryn Choe (CoRR, 2025)

Few-Shot Learning-Based Cyber Incident Detection with Augmented Context Intelligence - Fei Zuo; Junghwan Rhee; Yung Ryn Choe; Chenglong Fu; Xianshan Qu (CoRR, 2025)

Vulnerability discovery based on source code patch commit mining: a systematic literature review - Fei Zuo; Junghwan Rhee (Int. J. Inf. Sec., 2024)

An Evaluation on the Impact of Large Language Models on Computer Science Curricula - Junghwan Rhee; Aakankshya Shrestha; Gang Qian; Fei Zuo; Jicheng Fu; Myungah Park; Xianshan Qu; Goutam Mylavarapu; Hong Sung (J. Comput. Sci. Coll., 2024)

Student-Perspective Observations from the Comparison of Rust and C++ Languages - Josiah Scott; Fei Zuo; Junghwan Rhee (J. Comput. Sci. Coll., 2024)

ChatGPT as an Assembly Language Interpreter for Computing Education - Fei Zuo; Cody Tompkins; Gang Qian; Junghwan Rhee; Xianshan Qu; Bokai Yang (J. Comput. Sci. Coll., 2024)

ProvIoT : Detecting Stealthy Attacks in IoT through Federated Edge-Cloud Security - Kunal Mukherjee; Joshua Wiedemeier; Qi Wang; Junpei Kamimura; Junghwan John Rhee; James Wei; Zhichun Li; Xiao Yu; Lu-An Tang; Jiaping Gui; Kangkook Jee (Applied Cryptography and Network Security - 22nd International Conference, ACNS 2024, Abu Dhabi, United Arab Emirates, March 5-8, 2024, Proceedings, Part III, 2024)

Differential Fuzzing for Data Distribution Service Programs with Dynamic Configuration - Dohyun Ryu; Giyeol Kim; Daeun Lee; Seongjin Kim; Seungjin Bae; Junghwan Rhee; Taegyu Kim (Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, ASE 2024, Sacramento, CA, USA, October 27 - November 1, 2024, 2024)

GrizzlyBay: Retroactive SBOM with Automated Identification for Legacy Binaries - Junghwan John Rhee; Fei Zuo; Cody Tompkins; Jeehyun Oh; Yung Ryn Choe (IEEE Military Communications Conference, MILCOM 2024, Washington, DC, USA, October 28 - Nov. 1, 2024, 2024)

Context Matters: Investigating Its Impact on ChatGPT's Bug Fixing Performance - Xianshan Qu; Fei Zuo; Xiaopeng Li; Junghwan Rhee (22nd IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2024, Honolulu, HI, USA, May 30 - June 1, 2024, 2024)

Automatic Configurator to Prevent Attacks for Azure Cloud System - Chijung Jung; Yung Ryn Choe; Junghwan Rhee; Yonghwi Kwon (22nd IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2024, Honolulu, HI, USA, May 30 - June 1, 2024, 2024)

BinSimDB: Benchmark Dataset Construction for Fine-Grained Binary Code Similarity Analysis - Fei Zuo; Cody Tompkins; Qiang Zeng; Lannan Luo; Yung Ryn Choe; Junghwan Rhee (CoRR, 2024)

ProvSec: Open Cybersecurity System Provenance Analysis Benchmark Dataset with Labels - Madhukar Shrestha; Yonghyun Kim; Jeehyun Oh; Junghwan John Rhee; Yung Ryn Choe; Fei Zuo; Myungah Park; Gang Qian (Int. J. Networked Distributed Comput., 2023)

Developing Incident Response-Focused Cybersecurity Undergraduate Curricul - Junghwan Rhee; Myungah Park; Fei Zuo; Shuai Zhang; Gang Qian; Goutam Mylavarapu; Hong Sung; Thomas Turner (J. Comput. Sci. Coll., 2023)

Designing a Security System Administration Course for Cybersecurity with a Companion Project - Fei Zuo; Junghwan Rhee; Myungah Park; Gang Qian (J. Comput. Sci. Coll., 2023)

PowerGrader: Automating Code Assessment Based on PowerShell for Programming Courses - Fei Zuo; Junghwan Rhee; Myung-Ah Park; Gang Qian (21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2023, Orlando, FL, USA, May 23-25, 2023, 2023)

Commit Message Can Help: Security Patch Detection in Open Source Software via Transformer - Fei Zuo; Xin Zhang; Yuqi Song; Junghwan Rhee; Jicheng Fu (21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2023, Orlando, FL, USA, May 23-25, 2023, 2023)

ProvSec: Cybersecurity System Provenance Analysis Benchmark Dataset - Madhukar Shrestha; Yonghyun Kim; Jeehyun Oh; Junghwan Rhee; Yung Ryn Choe; Fei Zuo; Myungah Park; Gang Qian (21st IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2023, Orlando, FL, USA, May 23-25, 2023, 2023)

A Comprehensive Dataset Towards Hands-on Experience Enhancement in a Research-Involved Cybersecurity Program - Fei Zuo; Junghwan Rhee; Yonghyun Kim; Jeehyun Oh; Gang Qian (The 24th Annual Conference on Information Technology Education, SIGITE 2023, Marietta, GA, USA, October 11-14, 2023, 2023)

Designing a Security System Administration Course for Cybersecurity with a Companion Project - Fei Zuo; Junghwan Rhee; Myungah Park; Gang Qian (CoRR, 2023)

ShadowAuth: Backward-Compatible Automatic CAN Authentication for Legacy ECUs - Sungwoo Kim; Gisu Yeo; Taegyu Kim; Junghwan John Rhee; Yuseok Jeon; Antonio Bianchi; Dongyan Xu; Dave (Jing) Tian (ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022 - 3 June 2022, 2022)

DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing - Seulbae Kim; Major Liu; Junghwan John Rhee; Yuseok Jeon; Yonghwi Kwon; Chung Hwan Kim (Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, CA, USA, November 7-11, 2022, 2022)

Multi-source Inductive Knowledge Graph Transfer - Junheng Hao; Lu-An Tang; Yizhou Sun; Zhengzhang Chen; Haifeng Chen; Junghwan Rhee; Zhichuan Li; Wei Wang (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II, 2022)

20th IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2022, Las Vegas, NV, USA, May 25-27, 2022 - Juyeon Jo; Yeong-Tae Song; Lin Deng; Junghwan John Rhee (IEEE, 2022)

DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing - Seulbae Kim; Major Liu; Junghwan John Rhee; Yuseok Jeon; Yonghwi Kwon; Chung Hwan Kim (CoRR, 2022)

UTrack: Enterprise User Tracking Based on OS-Level Audit Logs - Yue Li; Zhenyu Wu; Haining Wang; Kun Sun; Zhichun Li; Kangkook Jee; Junghwan Rhee; Haifeng Chen (CODASPY '21: Eleventh ACM Conference on Data and Application Security and Privacy, Virtual Event, USA, April 26-28, 2021, 2021)

Find My Sloths: Automated Comparative Analysis of How Real Enterprise Computers Keep Up with the Software Update Races - Omid Setayeshfar; Junghwan John Rhee; Chung Hwan Kim; Kyu Hyung Lee (Detection of Intrusions and Malware, and Vulnerability Assessment - 18th International Conference, DIMVA 2021, Virtual Event, July 14-16, 2021, Proceedings, 2021)

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; Dave (Jing) Tian (30th USENIX Security Symposium, USENIX Security 2021, August 11-13, 2021, 2021)

SIGL: Securing Software Installations Through Deep Graph Learning - Xueyuan Han; Xiao Yu; Thomas F. J.-M. Pasquier; Ding Li; Junghwan Rhee; James W. Mickens; Margo I. Seltzer; Haifeng Chen (30th USENIX Security Symposium, USENIX Security 2021, August 11-13, 2021, 2021)

CAFE: A Virtualization-Based Approach to Protecting Sensitive Cloud Application Logic Confidentiality - Sungjin Park; Chung Hwan Kim; Junghwan Rhee; Jong-Jin Won; Taisook Han; Dongyan Xu (IEEE Trans. Dependable Secur. Comput., 2020)

This is Why We Can't Cache Nice Things: Lightning-Fast Threat Hunting using Suspicion-Based Hierarchical Storage - Wajih Ul Hassan; Ding Li; Kangkook Jee; Xiao Yu; Kexuan Zou; Dawei Wang; Zhengzhang Chen; Zhichun Li; Junghwan Rhee; Jiaping Gui; Adam Bates (ACSAC '20: Annual Computer Security Applications Conference, Virtual Event / Austin, TX, USA, 7-11 December, 2020, 2020)

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; Byoungyoung Lee (SoCC '20: ACM Symposium on Cloud Computing, Virtual Event, USA, October 19-21, 2020, 2020)

Detecting Malware Injection with Program-DNS Behavior - Yixin Sun; Kangkook Jee; Suphannee Sivakorn; Zhichun Li; Cristian Lumezanu; Lauri Korts-Pärn; Zhenyu Wu; Junghwan Rhee; Chung Hwan Kim; Mung Chiang; Prateek Mittal (IEEE European Symposium on Security and Privacy, EuroS&P 2020, Genoa, Italy, September 7-11, 2020, 2020)

APTrace: A Responsive System for Agile Enterprise Level Causality Analysis - Jiaping Gui; Ding Li; Zhengzhang Chen; Junghwan Rhee; Xusheng Xiao; Mu Zhang; Kangkook Jee; Zhichun Li; Haifeng Chen (36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020, 2020)

You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis - Qi Wang; Wajih Ul Hassan; Ding Li; Kangkook Jee; Xiao Yu; Kexuan Zou; Junghwan Rhee; Zhengzhang Chen; Wei Cheng; Carl A. Gunter; Haifeng Chen (27th Annual Network and Distributed System Security Symposium, NDSS 2020, San Diego, California, USA, February 23-26, 2020, 2020)

A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement - Pengyang Wang; Jiaping Gui; Zhengzhang Chen; Junghwan Rhee; Haifeng Chen; Yanjie Fu (WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020)

SIGL: Securing Software Installations Through Deep Graph Learning - Xueyuan Han; Xiao Yu; Thomas F. J.-M. Pasquier; Ding Li; Junghwan Rhee; James Mickens; Margo I. Seltzer; Haifeng Chen (CoRR, 2020)

PoLPer: Process-Aware Restriction of Over-Privileged Setuid Calls in Legacy Applications - Yuseok Jeon; Junghwan Rhee; Chung Hwan Kim; Zhichun Li; Mathias Payer; Byoungyoung Lee; Zhenyu Wu (Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy, CODASPY 2019, Richardson, TX, USA, March 25-27, 2019, 2019)

HeapTherapy+: Efficient Handling of (Almost) All Heap Vulnerabilities Using Targeted Calling-Context Encoding - Qiang Zeng; Golam Kayas; Emil Mohammed; Lannan Luo; Xiaojiang Du; Junghwan Rhee (49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2019, Portland, OR, USA, June 24-27, 2019, 2019)

Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification - Shen Wang; Zhengzhang Chen; Ding Li; Zhichun Li; Lu-An Tang; Jingchao Ni; Junghwan Rhee; Haifeng Chen; Philip S. Yu (Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019, 2019)

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; Dongyan Xu (28th USENIX Security Symposium, USENIX Security 2019, Santa Clara, CA, USA, August 14-16, 2019, 2019)

NodeMerge: Template Based Efficient Data Reduction For Big-Data Causality Analysis - Yutao Tang; Ding Li; Zhichun Li; Mu Zhang; Kangkook Jee; Xusheng Xiao; Zhenyu Wu; Junghwan Rhee; Fengyuan Xu; Qun Li (Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, CCS 2018, Toronto, ON, Canada, October 15-19, 2018, 2018)

Towards a Timely Causality Analysis for Enterprise Security - Yushan Liu; Mu Zhang; Ding Li; Kangkook Jee; Zhichun Li; Zhenyu Wu; Junghwan Rhee; Prateek Mittal (25th Annual Network and Distributed System Security Symposium, NDSS 2018, San Diego, California, USA, February 18-21, 2018, 2018)

Deep Program Reidentification: A Graph Neural Network Solution - Shen Wang; Zhengzhang Chen; Ding Li; Lu-An Tang; Jingchao Ni; Zhichun Li; Junghwan Rhee; Haifeng Chen; Philip S. Yu (CoRR, 2018)

Code-less Patching for Heap Vulnerabilities Using Targeted Calling Context Encoding - Qiang Zeng; Golam Kayas; Emil Mohammed; Lannan Luo; Xiaojiang Du; Junghwan Rhee (CoRR, 2018)

A Hypervisor Level Provenance System to Reconstruct Attack Story Caused by Kernel Malware - Chonghua Wang; Shiqing Ma; Xiangyu Zhang; Junghwan Rhee; Xiaochun Yun; Zhiyu Hao (Security and Privacy in Communication Networks - 13th International Conference, SecureComm 2017, Niagara Falls, ON, Canada, October 22-25, 2017, Proceedings, 2017)

High Fidelity Data Reduction for Big Data Security Dependency Analyses - Zhang Xu; Zhenyu Wu; Zhichun Li; Kangkook Jee; Junghwan Rhee; Xusheng Xiao; Fengyuan Xu; Haining Wang; Guofei Jiang (Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, Vienna, Austria, October 24-28, 2016, 2016)

PInfer: Learning to Infer Concurrent Request Paths from System Kernel Events - Hongteng Xu; Xia Ning; Hui Zhang; Junghwan Rhee; Guofei Jiang (2016 IEEE International Conference on Autonomic Computing, ICAC 2016, Wuerzburg, Germany, July 17-22, 2016, 2016)

Detecting Stack Layout Corruptions with Robust Stack Unwinding - Yangchun Fu; Junghwan Rhee; Zhiqiang Lin; Zhichun Li; Hui Zhang; Guofei Jiang (Research in Attacks, Intrusions, and Defenses - 19th International Symposium, RAID 2016, Paris, France, September 19-21, 2016, Proceedings, 2016)

PerfGuard: binary-centric application performance monitoring in production environments - Chung Hwan Kim; Junghwan Rhee; Kyu Hyung Lee; Xiangyu Zhang; Dongyan Xu (Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2016, Seattle, WA, USA, November 13-18, 2016, 2016)

Accurate, Low Cost and Instrumentation-Free Security Audit Logging for Windows - Shiqing Ma; Kyu Hyung Lee; Chung Hwan Kim; Junghwan Rhee; Xiangyu Zhang; Dongyan Xu (Proceedings of the 31st Annual Computer Security Applications Conference, Los Angeles, CA, USA, December 7-11, 2015, 2015)

Discover and Tame Long-running Idling Processes in Enterprise Systems - Jun Wang; Zhiyun Qian; Zhichun Li; Zhenyu Wu; Junghwan Rhee; Xia Ning; Peng Liu; Guofei Jiang (Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security, ASIA CCS '15, Singapore, April 14-17, 2015, 2015)

CAFE: A Virtualization-Based Approach to Protecting Sensitive Cloud Application Logic Confidentiality - Chung Hwan Kim; Sungjin Park; Junghwan Rhee; Jong-Jin Won; Taisook Han; Dongyan Xu (Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security, ASIA CCS '15, Singapore, April 14-17, 2015, 2015)

Data-Centric OS Kernel Malware Characterization - Junghwan Rhee; Ryan D. Riley; Zhiqiang Lin; Xuxian Jiang; Dongyan Xu (IEEE Trans. Inf. Forensics Secur., 2014)

DeltaPath: Precise and Scalable Calling Context Encoding - Qiang Zeng; Junghwan Rhee; Hui Zhang; Nipun Arora; Guofei Jiang; Peng Liu (12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2014, Orlando, FL, USA, February 15-19, 2014, 2014)

PerfScope: Practical Online Server Performance Bug Inference in Production Cloud Computing Infrastructures - Daniel Joseph Dean; Hiep Nguyen; Xiaohui Gu; Hui Zhang; Junghwan Rhee; Nipun Arora; Geoff Jiang (Proceedings of the ACM Symposium on Cloud Computing, Seattle, WA, USA, November 3-5, 2014, 2014)

An analytics approach to traffic analysis in network virtualization - Hui Zhang; Junghwan Rhee; Nipun Arora; Qiang Xu; Cristian Lumezanu; Guofei Jiang (10th International Conference on Network and Service Management, CNSM 2014 and Workshop, Rio de Janeiro, Brazil, November 17-21, 2014, 2014)

Software system performance debugging with kernel events feature guidance - Junghwan Rhee; Hui Zhang; Nipun Arora; Guofei Jiang; Kenji Yoshihira (2014 IEEE Network Operations and Management Symposium, NOMS 2014, Krakow, Poland, May 5-9, 2014, 2014)

Uscope: A scalable unified tracer from kernel to user space - Junghwan Rhee; Hui Zhang; Nipun Arora; Guofei Jiang; Kenji Yoshihira (2014 IEEE Network Operations and Management Symposium, NOMS 2014, Krakow, Poland, May 5-9, 2014, 2014)

CLUE: System trace analytics for cloud service performance diagnosis - Hui Zhang; Junghwan Rhee; Nipun Arora; Sahan Gamage; Guofei Jiang; Kenji Yoshihira; Dongyan Xu (2014 IEEE Network Operations and Management Symposium, NOMS 2014, Krakow, Poland, May 5-9, 2014, 2014)

Enabling layer 2 pathlet tracing through context encoding in software-defined networking - Hui Zhang; Cristian Lumezanu; Junghwan Rhee; Nipun Arora; Qiang Xu; Guofei Jiang (Proceedings of the third workshop on Hot topics in software defined networking, HotSDN '14, Chicago, Illinois, USA, August 22, 2014, 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; Dongyan Xu (ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2014, Austin, TX, USA, June 16-20, 2014, 2014)

iProbe: A lightweight user-level dynamic instrumentation tool - Nipun Arora; Hui Zhang; Junghwan Rhee; Kenji Yoshihira; Guofei Jiang (2013 28th IEEE/ACM International Conference on Automated Software Engineering, ASE 2013, Silicon Valley, CA, USA, November 11-15, 2013, 2013)

HybNET: network manager for a hybrid network infrastructure - Hui Lu; Nipun Arora; Hui Zhang; Cristian Lumezanu; Junghwan Rhee; Guofei Jiang (Proceedings of the Industrial Track of the 14th ACM/IFIP/USENIX International Middleware Conference, Beijing, China, December 9-13, 2013, 2013)

Discovering Semantic Data of Interest from Un-mappable Memory with Confidence - Zhiqiang Lin; Junghwan Rhee; Chao Wu; Xiangyu Zhang; Dongyan Xu (19th Annual Network and Distributed System Security Symposium, NDSS 2012, San Diego, California, USA, February 5-8, 2012, 2012)

Data-centric approaches to kernel malware defense - Junghwan Rhee (Purdue University, USA, 2011)

Autonomic live adaptation of virtual networked environments in a multidomain infrastructure - Paul Ruth; Junghwan Rhee; Dongyan Xu; Sebastien Goasguen; Rick Kennell (J. Internet Serv. Appl., 2011)

Characterizing kernel malware behavior with kernel data access patterns - Junghwan Rhee; Zhiqiang Lin; Dongyan Xu (Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security, ASIACCS 2011, Hong Kong, China, March 22-24, 2011, 2011)

SigGraph: Brute Force Scanning of Kernel Data Structure Instances Using Graph-based Signatures - Zhiqiang Lin; Junghwan Rhee; Xiangyu Zhang; Dongyan Xu; Xuxian Jiang (Proceedings of the Network and Distributed System Security Symposium, NDSS 2011, San Diego, California, USA, 6th February - 9th February 2011, 2011)

Kernel Malware Analysis with Un-tampered and Temporal Views of Dynamic Kernel Memory - Junghwan Rhee; Ryan D. Riley; Dongyan Xu; Xuxian Jiang (Recent Advances in Intrusion Detection, 13th International Symposium, RAID 2010, Ottawa, Ontario, Canada, September 15-17, 2010. Proceedings, 2010)

DKSM: Subverting Virtual Machine Introspection for Fun and Profit - Sina Bahram; Xuxian Jiang; Zhi Wang; Mike Grace; Jinku Li; Deepa Srinivasan; Junghwan Rhee; Dongyan Xu (29th IEEE Symposium on Reliable Distributed Systems (SRDS 2010), New Delhi, Punjab, India, October 31 - November 3, 2010, 2010)

Defeating Dynamic Data Kernel Rootkit Attacks via VMM-Based Guest-Transparent Monitoring - Junghwan Rhee; Ryan D. Riley; Dongyan Xu; Xuxian Jiang (Proceedings of the The Forth International Conference on Availability, Reliability and Security, ARES 2009, March 16-19, 2009, Fukuoka, Japan, 2009)

DeskBench: Flexible virtual desktop benchmarking toolkit - Junghwan Rhee; Andrzej Kochut; Kirk A. Beaty (Integrated Network Management, IM 2009. 11th IFIP/IEEE International Symposium on Integrated Network Management, Hofstra University, Long Island, NY, USA, June 1-5, 2009, 2009)

Autonomic Adaptation of Virtual Distributed Environments in a Multi-Domain Infrastructure - Dongyan Xu; Paul Ruth; Junghwan Rhee; Rick Kennell; Sebastien Goasguen (Proceedings of the 15th IEEE International Symposium on High Performance Distributed Computing, HPDC-15, Paris, France, June 19-23, 2006, 2006)

Autonomic Live Adaptation of Virtual Computational Environments in a Multi-Domain Infrastructure - Paul Ruth; Junghwan Rhee; Dongyan Xu; Rick Kennell; Sebastien Goasguen (Proceedings of the 3rd International Conference on Autonomic Computing, ICAC 2006, Dublin, Ireland, 13-16 June 2006, 2006)

TraceBack: first fault diagnosis by reconstruction of distributed control flow - Andrew Ayers; Richard Schooler; Chris Metcalf; Anant Agarwal; Junghwan Rhee; Emmett Witchel (Proceedings of the ACM SIGPLAN 2005 Conference on Programming Language Design and Implementation, Chicago, IL, USA, June 12-15, 2005, 2005)

Mondrix: memory isolation for linux using mondriaan memory protection - Emmett Witchel; Junghwan Rhee; Krste Asanovic (Proceedings of the 20th ACM Symposium on Operating Systems Principles 2005, SOSP 2005, Brighton, UK, October 23-26, 2005, 2005)