Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. - Junyoung Byun; Seungju Cho; Myung-Joon Kwon; Hee-Seon Kim; Changick Kim (CVPR, 2022)

Adaptive Warping Network for Transferable Adversarial Attacks. - Minji Son; Myung-Joon Kwon; Hee-Seon Kim; Junyoung Byun; Seungju Cho; Changick Kim (ICIP, 2022)

Balancing Domain Experts for Long-Tailed Camera-Trap Recognition. - Byeongjun Park; Jeongsoo Kim; Seungju Cho; Hee-Seon Kim; Changick Kim (CoRR, 2022)

Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. - Hee-Seon Kim; Minji Son; Minbeom Kim; Myung-Joon Kwon; Changick Kim (ICCV, 2023)

PG-RCNN: Semantic Surface Point Generation for 3D Object Detection. - Inyong Koo; Inyoung Lee; Se-Ho Kim; Hee-Seon Kim; Woo-Jin Jeon; Changick Kim (ICCV, 2023)

VideoMamba: Spatio-Temporal Selective State Space Model. - Jinyoung Park 001; Hee-Seon Kim; Kangwook Ko; Minbeom Kim; Changick Kim (ECCV (25), 2024)

Doubly-Universal Adversarial Perturbations: Deceiving Vision-Language Models Across Both Images and Text with a Single Perturbation. - Hee-Seon Kim; Minbeom Kim; Changick Kim (CoRR, 2024)

Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation. - Seokil Ham; Hee-Seon Kim; Sangmin Woo; Changick Kim (CVPR, 2025)

Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts. - Hee-Seon Kim; Minbeom Kim; Wonjun Lee; Kihyun Kim; Changick Kim (CoRR, 2025)