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papersize: a4 documentclass: article header-includes: - \usepackage{multicol} - \newcommand{\hideFromPandoc}[1]{#1} - \hideFromPandoc{ \let\Begin\begin \let\End\end }

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About Me

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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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Research Interests

  • Confidential Computing (e.g., Intel SGX, and AMD SEV)
  • Secure cloud applications
  • Fuzz Testing

Education

  • Ph.D., Electrical and Computer Engineering, Seoul National University, Mar. 2017 ~

  • B.S., Electrical Engineering, Pohang University of Science and Technology, Mar. 2013 ~ Feb. 2017.

Projects

  • [2023.02 - ] Designing a secure big-data analysis platform on confidential computing

  • [2023.02 - 2023.05] Fuzzing gramine libos for hardening the TCB inside SGX code.

    • Published a paper to SysTEX 2023 [paper][slide].
  • [2022.11 - ] Automated stock trading application for the people who always lose their money

  • [2022.11 - 2023.12] Redesigning machine-learning platform to protect data

  • [2021.05 - 2022.10] Hardware fuzzing to find transient execution vulnerabilities in RISC-V CPUs

  • [2021.03 - 2022.02] Firmware fuzzing to find bugs in Samsung secure elements

    • Implement the SoC emulator using QEMU.
  • [2019.09 - 2021.05] Hardware fuzzing to find functional bugs in RISC-V CPUs

    • Implemented the fuzzer using Verilator, Spike, Firrtl, and Cocotb.
    • Found 16 new bugs, including 6 CVEs in RISC-V CPUs.
    • Published a paper to IEEE S&P 2021 [pdf].

Publications

  • [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