I am a Ph.D. candidate in Scalable Graphics, Vision, and Robotics (SGVR) Lab at KAIST advised by Prof. Sung-Eui Yoon. I received my M.S. degree in Computer Science from KAIST and received my B.S. degree in Computer Science from KAIST in 2021 with minor in Electrical Engineering. I spent most of my childhood growing up in the United States, having graduated from Northview High School in Johns Creek, GA. I am also a recipient of the Qualcomm Innovation Fellowship 2023.
My main research area is Adversarial Machine Learning focused on the computer vision domain. I believe that it is imperative to diagnose the vulnerability of AI and to improve their robustness against malicious threats in order to ensure their safe deployments in the real world. Towards this goal, I focus on (1) devising practical adversarial attacks that can effectively diagnose the vulnerability of AI models and (2) building efficient and universal adversarial defense frameworks.
I am actively seeking for industrial internship positions. Please feel free to contact me for any potential opportunities!
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
High School, Northview High School, Johns Creek, GA, USA
Sep. 2012 - May. 2016
Towards Content-based Pixel Retrieval in Revisited Oxford and Paris
ICCV 2023
Feature Separation and Recalibration for Adversarial Robustness
CVPR 2023 Highlights paper (~2.5% acceptance rate)
Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks
ICIP 2022 Oral paper (~10% acceptance rate)