Publications
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2026
Unsupervised Domain Adaptation for Medical Image Segmentation Using Adaptogen-Perturbation
Hong Joo Lee, Yuan Bi, Sangmin Lee, Gyeong-Moon Park, Jung Uk Kim*,
Seong Tae Kim*, Zhongliang Jiang, Nassir Navab
Medical Image Analysis (MedIA), 2026
(IF: 11.4, JCR: 1.6%) [paper]
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-world Adversarial Examples
Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion
2025
Understanding Adversarial Robustness of Deep Neural Networks via Decision Reliance
Soyoun Won*, Hyeon Bae Kim*, Yong Hyun Ahn*, Hong Joo Lee†, Seong Tae Kim†
(† Corresponding Author)
Image and Vision Computing (Imvis), 2025
(IF: 4.7, JCR: 18.5%) [paper]
PRADA: Protecting and Detecting Dataset Abuse for Open-source Medical Dataset
Jinhyeok Jang*, Hong Joo Lee*, Nassir Navab, Seong Tae Kim
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025
(AI Top-tier Conference) [paper]
2024
Ultrasound Segmentation Analysis via Distinct and Completed Anatomical Borders
2023
Defending Video Recognition Model against Adversarial Perturbations via Defense Patterns
Hong Joo Lee, Yong Man Ro
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
(IF: 7.3, JCR: 4.9%) [paper]
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning
Hong Joo Lee, Yong Man Ro
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
(IF: 7.2, JCR: 7.8%) [paper]
Advancing Adversarial Training by Injecting Booster Signal
Hong Joo Lee, Youngjoom Yu, Yong Man Ro
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023
(IF: 14.2, JCR: 3.0%) [paper]
2022
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame
Youngjoon Yu*, Hong Joo Lee*, Hakmin Lee, Yong Man Ro
IEEE Transactions on Image Processing (IEEE TIP), 2022
(IF: 14.2, JCR: 3.0%) [paper]
MAP: Multispectral Adversarial Patch to Attack Person Detection
Taeheon Kim, Hong Joo Lee, Yong Man Ro
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
[paper]
2021
Adversarially Robust Hyperspectral Image Classification via Random Spectral Sampling and Spectral Shape Encoding
Towards Robust Training of Multi-sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation
Youngjoon Yu, Hong Joo Lee, Byeong Cheon Kim, Jung Uk Kim, Yong Man Ro
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
[paper]
Adversarially Robust Multi-sensor Fusion Model Training via Random Feature Fusion for Semantic Segmentation
2020
Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary
Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, Yong Man Ro
IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 2020
(AI Top-tier Conference) [paper]
CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection
Jung Uk Kim, Seong Tae Kim, Hong Joo Lee, Sangmin Lee, Yong Man Ro
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020
(IF: 4.1, JCR: 15.6%) [paper]
Robust Ensemble Model Training via Random Layer Sampling Against Adversarial Attack
Hakmin Lee*, Hong Joo Lee*, Seong Tae Kim, Yong Man Ro
British Machine Vision Conference (BMVC), 2020
[paper]
Lightweight and Effective Facial Landmark Detection using Adversarial Learning with Face Geometric Map Generative Network
Hong Joo Lee, Seong Tae Kim, Hakmin Lee, and Yong Man Ro
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020
(IF: 4.1, JCR: 15.6%) [paper]
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