I am a Ph.D. student in MLAI Lab, advised by Professor Sung Ju Hwang at KAIST.
My primary research interests lie in the development of robust representations across a variety of domains and tasks, including image classification, language generation, and neural architecture search. Recently, I am interested in how to learn robust representation in the multi-modality and in the foundation models.
If you're interested in collaborating on research projects related to robust representation in diverse domains, feel free to contact me :)
This is my CV!
Publication (*equal contribution)
Targeted Adversarial Self-Supervised Learning Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang NeurIPS 2023, PDF
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations Hyeonjeong Ha*, Minseon Kim*, Sung Ju Hwang NeurIPS 2023, PDF
Language Detoxification with Attribute-Discriminative Latent Space Minseon Kim*, Jin Myung Kwak*, Sung Ju Hwang ACL 2023, PDF
Meta-Prediction Model for Distillation-aware NAS on Unseen Datasets Hayeon Lee*, Sohyun An*, Minseon Kim, Sung Ju Hwang ICLR 2023 (Spotlight), PDFCode
Rethinking the Entropy of Instance in Adversarial Training Minseon Kim, Jihoon Tack, Jinwoo Shin, Sung Ju Hwang IEEE Conference on Secure and Trustworthy Machine Learning 2023 PDFCode
Lightweight Neural Architecture Search with Parameter Remapping and Knowledge Distillation Hayeon Lee*, Sohyun An*, Minseon Kim, Sung Ju Hwang AutoML workshop 2022, PDF
Few-shot Transferable Robust Representation Learning via Bilevel Attacks Minseon Kim*, Hyeonjeong Ha*, Sung Ju Hwang NeurIPS SafetyML workshop 2022, PDF
Consistency Regularization for Adversarial Robustness Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, and Jinwoo Shin AAAI 2022 PDFCode
MRI-based classification of neuropsychiatric systemic lupus erythematosus patients with self-supervised contrastive learning Francesca Inglese* and Minseon Kim* et al. (Correspond to Itamar Ronen) Frontiers in Neuroscience 2022 (Impact Factor: 4.67), PDF
Progressive Face Super-Resolution via Attention to Facial Landmark Deokyun Kim*, Minseon Kim*, Gihyun Kwon*, Daeshik Kim BMVC 2019, PDFCode
MRI-based classification of neuropsychiatric systemic lupus erythematosus patients with self-supervised contrastive learning, European Society For Magnetic Resonance in Medicine and Biology, ESMRMB 2020
T1 Image Synthesis with Deep Convolutional Generative Adversarial Networks, Organization for Human Brain Mapping, OHBM 2018
Work Experience
Research Internship (06.2019-08.2019)
Radiology Department, Leiden University Medical Center (LUMC), Leiden, Netherland