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Joonsung Jeon

Ph.D. Candidate

School of Computing, KAIST


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I am a M.S. candidate in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST advised by Prof. Sung-Eui Yoon. I received my B.S. degree in Electrical and Electronic Engineering from Yonsei University in 2024. My research has focused on safety, privacy, and social considerations in generative models, particularly adversarial attacks and membership inference attacks on diffusion models.
Currently, my interests are expanding toward safety in Vision-Language-Action (VLA) systems, aiming to improve reliability and robustness in embodied AI settings.

Contact

  • mikeraph [at] kaist.ac.kr

  • Bldg E3-1, Rm 3443, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

  • Ph.D. in School of Computing, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2026 - Current

  • M.S. in Kim Jaechul Graduate School of AI, KAIST

    - Advisor: Sung-Eui Yoon

    Mar. 2024 - Feb. 2026

  • B.S. in Electrical and Electronic Engineering, Yonsei University

    Mar. 2018 - Feb. 2024

News

  • [Jan 2026] ✨ One paper is accepted to ICLR 2026 (To be updated).
  • [Jan 2025] One paper is accepted to ICLR 2025.
  • [Oct 2024] One paper is accepted to APL Photonics 2024.

Publications

  • AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption

    Joonsung Jeon, Woo Jae Kim, Suhyeon Ha, Sooel Son*, and Sung-eui Yoon*

    The International Conference on Learning Representations, 2025

    [Code]

  • Restoring H&E stain in faded slides via phase-to-color virtual staining in near-infrared

    H. Chae, J. Kim, J. Jeon, K. Lee, K. Lee, J. Choi, S. Kang, S. Choi, G. Bang, J. Lee, E. Park, N. Cho, and S. Lee

    APL Photonics, 2024

    [Paper]

  • Edge driven unsupervised phase-to-H&E Virtual Staining

    Jongho Kim, Hyesuk Chae, Joonsung Jeon, Kyung Chul Lee, and Seung Ah Lee

    Conference on Lasers and Electro-Optics/Pacific Rim, 2024

    [Paper]

  • Virtual Re-staining of Faded H&E-Stained Slides Using NIR Quantitative Phase Imaging

    Hyesuk Chae, Joonsung Jeon, Kyung Chul Lee, Ji Ung Choi, Kyungwon Lee, and Seung Ah Lee

    Imaging Systems and Applications, 2023

    [Paper]