Kim, Minseon

15 publications

NeurIPS 2025 BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing Jinsu Kim, Yunhun Nam, Minseon Kim, Sangpil Kim, Jongheon Jeong
ICLRW 2025 Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts Samin Yeasar Arnob, Zhan Su, Minseon Kim, Oleksiy Ostapenko, Doina Precup, Lucas Caccia, Alessandro Sordoni
NeurIPS 2025 Learning to Solve Complex Problems via Dataset Decomposition Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Weijia Xu, Alessandro Sordoni
ICMLW 2024 Automatic Jailbreaking of the Text-to-Image Generative AI Systems Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang
ICLRW 2024 Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship Eunji Ko, Seul Lee, Minseon Kim, Dongki Kim, Sung Ju Hwang
NeurIPS 2023 Effective Targeted Attacks for Adversarial Self-Supervised Learning Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
NeurIPS 2023 Generalizable Lightweight Proxy for Robust NAS Against Diverse Perturbations Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
ICMLW 2023 Generalizable Lightweight Proxy for Robust NAS Against Diverse Perturbations Hyeonjeong Ha, Minseon Kim, Sung Ju Hwang
ICLR 2023 Meta-Prediction Model for Distillation-Aware NAS on Unseen Datasets Hayeon Lee, Sohyun An, Minseon Kim, Sung Ju Hwang
AAAI 2022 Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
NeurIPSW 2022 Few-Shot Transferable Robust Representation Learning via Bilevel Attacks Minseon Kim, Hyeonjeong Ha, Sung Ju Hwang
NeurIPSW 2022 Targeted Adversarial Self-Supervised Learning Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
ICMLW 2021 Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin
ICMLW 2021 Entropy Weighted Adversarial Training Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang
NeurIPS 2020 Adversarial Self-Supervised Contrastive Learning Minseon Kim, Jihoon Tack, Sung Ju Hwang