Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning. - Gyojin Han; Jaehyun Choi; Hyeong Gwon Hong; Junmo Kim 002 (CoRR, 2022)

Reinforcement Learning-Based Black-Box Model Inversion Attacks. - Gyojin Han; Jaehyun Choi; Haeil Lee; Junmo Kim 002 (CVPR, 2023)

Data Poisoning Attack Aiming the Vulnerability of Continual Learning. - Gyojin Han; Jaehyun Choi; Hyeong Gwon Hong; Junmo Kim 002 (ICIP, 2023)

Deep Cross-Modal Steganography Using Neural Representations. - Gyojin Han; Dong-Jae Lee; Jiwan Hur; Jaehyun Choi; Junmo Kim 002 (ICIP, 2023)

Learning Neural Deformation Representation for 4D Dynamic Shape Generation. - Gyojin Han; Jiwan Hur; Jaehyun Choi; Junmo Kim 002 (ECCV (72), 2024)

Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance. - Jiwan Hur; Dong-Jae Lee; Gyojin Han; Jaehyun Choi; Yunho Jeon; Junmo Kim 002 (NeurIPS, 2024)

Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning. - Jiwan Hur; Jaehyun Choi; Gyojin Han; Dong-Jae Lee; Junmo Kim 002 (WACV, 2024)

DAM: Domain-Aware Module for Multi-Domain Dataset Condensation. - Jaehyun Choi; Gyojin Han; Dong-Jae Lee; Sunghyun Baek; Junmo Kim (CoRR, 2025)

PRISM: Video Dataset Condensation with Progressive Refinement and Insertion for Sparse Motion. - Jaehyun Choi; Jiwan Hur; Gyojin Han; Jaemyung Yu; Junmo Kim 002 (CoRR, 2025)