Taehun Kim

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Taehun Kim
Taehun Kim
Ph.D. Student · 45th semester
Email: taehunk [at] korea.ac.kr

Research Interests

System SecurityMicroarchitectural Side-channel AttacksNetwork SecurityBinary Analysis

Biography

Taehun Kim is a Ph.D. student in the Computer Systems Security Lab at Korea University, advised by Prof. Youngjoo Shin. His research centers on CPU microarchitectural attacks and defenses across Intel, AMD, ARM, and Apple Silicon processors, with particular interest in device-driven attacks leveraging SmartNICs, GPUs, and NPUs, and in the security evaluation of trusted execution environments including Intel SGX/TDX, AMD SEV, and ARM TrustZone.

Education

  • Ph.D. (in progress)
    School of Cybersecurity
    Korea University

Earlier degrees — TBA.

Honors & Awards

  • Grand Prize, Cybersecurity Paper Competition (2024)
  • KISTI Director’s Award (2024)
  • Best Paper Award, Korea Software Congress (KSC 2022)
  • Excellence Award, Cybersecurity Paper Competition (2021)
  • Multiple conference presentation awards (2019–2023)

Publications

  1. WISA
    A Survey of Speculative Load Prediction Attacks Exploiting Memory Disambiguation Units
    Selynn Kim, Taehun Kim, and Youngjoo Shin
    In Proceedings of the World Conference on Information Security Applications (WISA), 2025
  2. ESORICS
    T-Time: A Fine-grained Timing-based Controlled-Channel Attack against Intel TDX
    Woomin Lee, Taehun Kim, Seunghee Shin, Junbeom Hur, and Youngjoo Shin
    In Proceedings of the European Symposium on Research in Computer Security (ESORICS)[BK21 IF=2] , 2025
    Code
  3. ESORICS
    Cache Demote for Fast Eviction Set Construction and Page Table Attribute Leakage
    Taehun Kim, Hyerean Jang, and Youngjoo Shin
    In Proceedings of the European Symposium on Research in Computer Security (ESORICS)[BK21 IF=2] , 2025
    Code
  4. CCS
    SysBumps: Exploiting Speculative Execution in System Calls for Breaking KASLR in macOS for Apple Silicon
    Hyerean Jang, Taehun Kim, and Youngjoo Shin
    In Proceedings of the ACM Conference on Computer and Communications Security (CCS)[BK21 IF=4] Also presented at Black Hat Europe 2024. , 2024
    Code
  5. ASIACCS
    POSTER: On the Feasibility of Inferring SGX Execution through PMU
    Woomin Lee, Taehun Kim, and Youngjoo Shin
    In Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIACCS), 2024
  6. Electronics
    S-ZAC: Hardening Access Control of Service Mesh using Intel SGX for Zero Trust in Cloud
    Changhee Han, Taehun Kim, Woomin Lee, and Youngjoo Shin
    Electronics, 2024
  7. WISA
    Exploiting Memory Page Management in KSM for Remote Memory Deduplication Attack
    Seungyeon Bae, Taehun Kim, Woomin Lee, and Youngjoo Shin
    In Proceedings of the World Conference on Information Security Applications (WISA), 2023
  8. IEEE S&P
    DevIOus: Device-Driven Side-Channel Attacks on the IOMMU
    Taehun Kim, Hyeongjin Park, Seokmin Lee, Seunghee Shin, Junbeom Hur, and Youngjoo Shin
    In Proceedings of the IEEE Symposium on Security and Privacy (S&P), 2023
  9. IEEE Access
    ThermalBleed: A Practical Thermal Side-Channel Attack
    Taehun Kim and Youngjoo Shin
    IEEE Access, 2022
  10. WISA
    Quantitative Analysis on Attack Capacity in Meltdown-type Attacks
    Seokmin Lee, Taehun Kim, and Youngjoo Shin
    In Proceedings of the World Conference on Information Security Applications (WISA), 2021
  11. ICOIN
    Constructing Covert Channel on Intel CPU-iGPU Platform
    Taehun Kim, Taehyun Kim, and Youngjoo Shin
    In Proceedings of the International Conference on Information Networking (ICOIN), 2021
  12. Electronics
    Breaking KASLR Using Memory Deduplication in Virtualized Environments
    Taehun Kim, Jaehan Kim, and Youngjoo Shin
    Electronics, 2021
  13. ASIACCS
    (Poster) Mitigating Memory Sharing-based Side-channel Attack by Embedding Random Values in Binary for Cloud Environment
    Taehun Kim and Youngjoo Shin
    In Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIACCS), 2020
  14. ICCE-Asia
    GPU Side-channel Attacks are Everywhere: A Survey
    Taehun Kim and Youngjoo Shin
    In Proceedings of the IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia), 2020
  15. Appl. Sci.
    Real-Time Detection for Cache Side Channel Attack using Performance Counter Monitor
    Jonghyeon Cho, Taehun Kim, Soojin Kim, Miok Im, Taehyun Kim, and Youngjoo Shin
    Applied Sciences, 2020