Joonsung Jeon

M.S. Candidate

School of Computing, KAIST

Google Scholar | GitHub

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 lies at the intersection of safety, privacy and social cosiderations in generative models, with a particular interest in adversarial attack and membership inference attack on diffusion models.

Contact

mikeraph [at] kaist.ac.kr
Bldg E3-1, Rm 3443, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141

Education

M.S. in Artificial Intelligence, KAIST

- Advisor: Sung-Eui Yoon

Mar. 2024 - Current
B.S. in Electrical and Electronic Engineering, Yonsei University

Mar. 2018 - Feb. 2024

News

[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]