I am a Ph.D. student in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST, advised by Prof. Sung-Eui Yoon. I received my B.S. degree in Computer Science from KAIST in 2021 with minor in Electrical Engineering. My research interest lies on adversarial attack and defense in computer vision applications. I focus on investigating the vulnerability of deep neural networks via adversarial attack and designing adversarial defense techniques that can ensure robust deep model inferences under such threat.
wkim97 [at] kaist.ac.kr
Bldg E3-1, Rm 3446, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, 34141
B.S. in Computer Science, KAIST
- Minor in Electrical Engineering
Sep. 2016 - Feb. 2021
Towards Content-based Pixel Retrieval in Revisited Oxford and Paris
ICCV 2023
Feature Separation and Recalibration for Adversarial Robustness
CVPR 2023 Highlight paper (~2.5% acceptance rate)
Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks
ICIP 2022 Oral paper (~10% acceptance rate)