About Me

I’m a M.S. student at Machine Learning and Artificial Intelligence (MLAI) lab in KAIST, under the supervision of Prof. Sung Ju Hwang. I obtained my B.S. degrees (Computer Science, Bio & Brain Engineering) at KAIST. Recently, I’ve been interested in improving the foundation models with effective but limited data. If you are interested in collaborating with me on research projects related to robustness and data-efficient machine learning, please contact me. Here is my CV.

My research interest includes:

• Robustness & generalization on unseen domains and distribution shift
• Data-efficient machine learning

News

🔥 Sep. 2023. Two paper accepted to NeurIPS 2023 Conference
🔥 Jun. 2023. One paper accepted to ICML 2023 AdvML-Frontiers’ Workshop
🔥 Oct. 2022. Two papers accepted to NeurIPS 2022 ML Safety Workshop

Education

• M.S. in Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST)
  Mar. 2022 - Present

• B.S. in Computer Science (major) and Bio & Brain Engineering (minor), Korea Advanced Institute of Science and Technology (KAIST)
  Mar. 2017 - Feb. 2022

Work Experiences

• Developer Intern, NAVER, Seongnam, South Korea (Sep 2020 - Feb 2021)
• Undergraduate Research Intern, KIXLAB, KAIST, Daejeon, South Korea (July 2020 - Jan 2021)
• Developer Intern, H2K, Daejeon, South Korea (June 2019 - Dec 2019)

Publication

• Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
  [paper]
  Hyeonjeong Ha*, Minseon Kim*, Sung Ju Hwang (*: equal contribution)
  NeurIPS 2023
  ICML 2023 The 2ND New Frontiers in Adversarial Machine Learning Workshop
• Few-shot Transferable Robust Representation Learning via Bilevel Attacks
  [paper]
  Hyeonjeong Ha*, Minseon Kim*, Sung Ju Hwang (*: equal contribution)
  NeurIPS 2022 ML Safety Workshop
• Targeted Adversarial Self-Supervised Learning
  [paper]
  Minseon Kim, Hyeonjeong Ha, Sung Ju Hwang
  NeurIPS 2023
  NeurIPS 2022 ML Safety Workshop

Academic Services

• Reviewer
  • ICML 2023
  • NeurIPS 2023