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.
mikeraph [at] kaist.ac.kr
Bldg E3-1, Rm 3443, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141
B.S. in Electrical and Electronic Engineering, Yonsei University
Mar. 2018 - Feb. 2024
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
The International Conference on Learning Representations, 2025
Restoring H&E stain in faded slides via phase-to-color virtual staining in near-infrared
APL Photonics, 2024
Edge driven unsupervised phase-to-H&E Virtual Staining
Conference on Lasers and Electro-Optics/Pacific Rim, 2024
Virtual Re-staining of Faded H&E-Stained Slides Using NIR Quantitative Phase Imaging
Imaging Systems and Applications, 2023