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Jaewon Hur { width=20px } { width=20px } { width=20px }
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I am a Ph.D student at Seoul National University (SNU), advised by Byoungyoung Lee in Compsed lab. My primary research areas are hardware fuzzing and cloud computing. Especially, I have worked on implementing RTL fuzzer to find bugs in RISC-V CPU designs. Currently, I am working on secure cloud computing technology, so called confidential computing (e.g., Intel SGX, and AMD SEV). To be specific, I am working on re-designing current big-data, and machine learning platform to protect data while preserving efficiency.
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- Confidential Computing (e.g., Intel SGX, and AMD SEV)
- Secure cloud applications
- Fuzz Testing
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Ph.D., Electrical and Computer Engineering, Seoul National University, Mar. 2017 ~
- Advisor: Byoungyoung Lee
- Advisor before moving in to Compsec lab: Sunghyun Choi
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B.S., Electrical Engineering, Pohang University of Science and Technology, Mar. 2013 ~ Feb. 2017.
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[2023.02 - ] Designing a secure big-data analysis platform on confidential computing
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[2023.02 - 2023.05] Fuzzing gramine libos for hardening the TCB inside SGX code.
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[2022.11 - ] Automated stock trading application for the people who always lose their money
- Published an Android App, MumeParrot.
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[2022.11 - 2023.12] Redesigning machine-learning platform to protect data
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[2021.05 - 2022.10] Hardware fuzzing to find transient execution vulnerabilities in RISC-V CPUs
- Implemented the fuzzer using Verilator, Chipyard, Chisel, and Firrtl.
- Found 2 new transient execution vulnerabilities in RISC-V Nutshell, and RISC-V Boom.
- Published a paper to ACM CCS 2022 [pdf].
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[2021.03 - 2022.02] Firmware fuzzing to find bugs in Samsung secure elements
- Implement the SoC emulator using QEMU.
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[2019.09 - 2021.05] Hardware fuzzing to find functional bugs in RISC-V CPUs
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[SysTEX 2023] Graminer: Fuzz Testing Gramine LibOS to Harden the Trusted Computing Base [pdf]
Jaewon Hur, and Byoungyoung Lee -
[ACM CCS 2022] SpecDoctor: Differential Fuzz Testing to Find Transient Execution Vulnerabilities [pdf]
Jaewon Hur, Suhwan Song, Sunwoo Kim, and Byoungyoung Lee -
[Usenix Security 2022] FuzzOrigin: Detecting UXSS Vulnerabilities in Browsers through Origin Fuzzing [pdf]
Sunwoo Kim, Youngmin Kim, Jaewon Hur, Suhwan Song, Gwangmu Lee, and Byoungyoung Lee -
[IEEE/ACM ICSE 2022] R2Z2: Detecting Rendering Regressions in Web Browsers through Differential Fuzz Testing [pdf]
Suhwan Song, Jaewon Hur, Sunwoo Kim, Philip Rogers, and Byoungyoung Lee -
[IEEE S&P 2021] DifuzzRTL: Differential Fuzz Testing to Find CPU Bugs [pdf]
Jaewon Hur, Suhwan Song, Dongup Kwon, Eunjin Baek, Jangwoo Kim, and Byoungyoung Lee -
[IEEE WCNC 2021] Push yoUr Password: Secure and Fast WiFi Connection for IoT Devices [pdf]
Junyoung Choi, Jaewon Hur, and Saewoong Bahk -
[IEEE MASS 2019] EV-CAST: Interference and Energy-Aware Video Multicast Exploiting Collaborative Relays [pdf]
Yeonchul Shin, Jaewon Hur, Gyujin Lee, Jonghoe Koo, Junyoung Choi, Sung-Ju Lee, and Sunghyun Choi