Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Aleksandra Gruca; Federico Serva; Llorenç Lliso; Pilar Rípodas; Xavier Calbet; Pedro Herruzo; Jirí Pihrt; Rudolf Raevskiy; Petr Simánek; Matej Choma; Yang Li; Haiyu Dong; et al. (NeurIPS (Competition and Demos), 2021)

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)

Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness. - Junyoung Byun; Hyojun Go; Seungju Cho; Changick Kim (ICIP, 2022)

Adversarial Training with Channel Attention Regularization. - Seungju Cho; Junyoung Byun; Myung-Joon Kwon; Yoonji Kim; Changick Kim (ICIP, 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)

RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. - Jinyoung Park 001; Minseok Son; Seungju Cho; Inyoung Lee; Changick Kim (CoRR, 2022)

Introducing Competition to Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup. - Junyoung Byun; Myung-Joon Kwon; Seungju Cho; Yoonji Kim; Changick Kim (CVPR, 2023)

Improving Adversarial Transferability Via Feature Translation. - Yoonji Kim; Seungju Cho; Junyoung Byun; Myung-Joon Kwon; Changick Kim (ICIP, 2023)

Class Incremental Learning for Adversarial Robustness. - Seungju Cho; Hongsin Lee; Changick Kim (CoRR, 2023)

Enhancing Robustness in Incremental Learning with Adversarial Training. - Seungju Cho; Hongsin Lee; Changick Kim (AAAI, 2025)

Long-tailed Adversarial Training with Self-Distillation. - Seungju Cho; Hongsin Lee; Changick Kim (ICLR, 2025)

Indirect Gradient Matching for Adversarial Robust Distillation. - Hongsin Lee; Seungju Cho; Changick Kim (ICLR, 2025)

Refusal-Feature-guided Teacher for Safe Finetuning via Data Filtering and Alignment Distillation. - Seokil Ham; Yubin Choi; Seungju Cho; Yujin Yang; Younghun Kim; Changick Kim (CoRR, 2025)