Progressive Face Super-Resolution via Attention to Facial Landmark. - Deokyun Kim; Minseon Kim; Gihyun Kwon; Daeshik Kim (BMVC, 2019)

Adversarial Self-Supervised Contrastive Learning. - Minseon Kim; Jihoon Tack; Sung Ju Hwang (NeurIPS, 2020)

Consistency Regularization for Adversarial Robustness. - Jihoon Tack; Sihyun Yu; Jongheon Jeong; Minseon Kim; Sung Ju Hwang; Jinwoo Shin (AAAI, 2022)

Machine Learning-Aided Discovery of Superionic Solid-State Electrolyte for Li-Ion Batteries. - Seungpyo Kang; Minseon Kim; Kyoungmin Min (CoRR, 2022)

Design of a novel Korean learning application for efficient pronunciation correction. - Minjong Cheon; Minseon Kim; Hanseon Joo (CoRR, 2022)

Targeted Adversarial Self-Supervised Learning. - Minseon Kim; Hyeonjeong Ha; Sooel Son; Sung Ju Hwang (CoRR, 2022)

Few-shot Transferable Robust Representation Learning via Bilevel Attacks. - Minseon Kim; Hyeonjeong Ha; Sung Ju Hwang (CoRR, 2022)

Language Detoxification with Attribute-Discriminative Latent Space. - Jin Myung Kwak; Minseon Kim; Sung Ju Hwang (ACL (1), 2023)

Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets. - Hayeon Lee; Sohyun An; Minseon Kim; Sung Ju Hwang (ICLR, 2023)

Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations. - Hyeonjeong Ha; Minseon 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)

Rethinking the Entropy of Instance in Adversarial Training. - Minseon Kim; Jihoon Tack; Jinwoo Shin; Sung Ju Hwang (SaTML, 2023)

Context-dependent Instruction Tuning for Dialogue Response Generation. - Jin Myung Kwak; Minseon Kim; Sung Ju Hwang (CoRR, 2023)

Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship. - Eunji Ko; Seul Lee; Minseon Kim; Dongki Kim (CoRR, 2024)

Automatic Jailbreaking of the Text-to-Image Generative AI Systems. - Minseon Kim; Hyomin Lee; Boqing Gong; Huishuai Zhang; Sung Ju Hwang (CoRR, 2024)

Optimizing Query Generation for Enhanced Document Retrieval in RAG. - Hamin Koo; Minseon Kim; Sung Ju Hwang (CoRR, 2024)

Re-evaluating the gender gap: a cross-sectional analysis of accepted American Academy of Neurology annual meeting abstracts in 2020 and 2021. - Minseon Kim; Youngran Kim; Anjail Z. Sharrief; Thy P. Nguyen (Frontiers Res. Metrics Anal., 2024)

debug-gym: A Text-Based Environment for Interactive Debugging. - Xingdi Yuan; Morgane M. Moss; Charbel El Feghali; Chinmay Singh; Darya Moldavskaya; Drew MacPhee; Lucas Caccia; Matheus Pereira; Minseon Kim; Alessandro Sordoni; Marc-Alexandre Côté (CoRR, 2025)

Enhancing Variational Autoencoders with Smooth Robust Latent Encoding. - Hyomin Lee; Minseon Kim; Sangwon Jang; Jongheon Jeong; Sung Ju Hwang (CoRR, 2025)

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts. - Samin Yeasar Arnob; Zhan Su 002; Minseon Kim; Oleksiy Ostapenko; Riyasat Ohib; Esra'a Saleh; Doina Precup; Lucas Caccia; Alessandro Sordoni (CoRR, 2025)

Medical Red Teaming Protocol of Language Models: On the Importance of User Perspectives in Healthcare Settings. - Jean-Philippe Corbeil; Minseon Kim; Alessandro Sordoni; François Beaulieu; Paul Vozila (CoRR, 2025)