Seungju Cho

According to our database, Seungju Cho authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, June, 2025

Indirect Gradient Matching for Adversarial Robust Distillation.

Hongsin Lee, Seungju Cho, Changick Kim

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Long-tailed Adversarial Training with Self-Distillation.

Seungju Cho, Hongsin Lee, Changick Kim

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Robustness in Incremental Learning with Adversarial Training.

Seungju Cho, Hongsin Lee, Changick Kim

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023

Class Incremental Learning for Adversarial Robustness.

Seungju Cho, Hongsin Lee, Changick Kim

CoRR, 2023

Improving Adversarial Transferability Via Feature Translation.

Yoonji Kim, Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Changick Kim

Proceedings of the IEEE International Conference on Image Processing, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.

Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim

CoRR, 2022

Balancing Domain Experts for Long-Tailed Camera-Trap Recognition.

Byeongjun Park, Jeongsoo Kim, Seungju Cho, Hee-Seon Kim, Changick Kim

CoRR, 2022

Adaptive Warping Network for Transferable Adversarial Attacks.

Minji Son, Myung-Joon Kwon, Hee-Seon Kim, Junyoung Byun, Seungju Cho, Changick Kim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Adversarial Training with Channel Attention Regularization.

Seungju Cho, Junyoung Byun, Myung-Joon Kwon, Yoonji Kim, Changick Kim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Exploiting Doubly Adversarial Examples for Improving Adversarial Robustness.

Junyoung Byun, Hyojun Go, Seungju Cho, Changick Kim

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input.

Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Hee-Seon Kim, Changick Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil

Proceedings of the NeurIPS 2022 Competition Track, 2021