I am a PhD student at Blender Lab at University of Illinois, Urbana-Champaign (UIUC), currently advised by Prof. Heng Ji. I obtained my Master’s from the Graduate School of AI at KAIST, under the supervision of Prof. Sung Ju Hwang. If you are interested in collaborating with me on research projects, please contact me! Here is my CV.

My primary research interest includes:

  • Model Interpretability & Robustness
  • Vision Langauge Models (VLMs)
  • Efficient Machine-learning

πŸ”₯ News

  • 2024.08:  🀘🀘 Excited to start my Ph.D. program at UIUC!
  • 2023.09: Β πŸŽ‰πŸŽ‰ Two paper accepted to NeurIPS 2023 Conference
  • 2023.06: Β πŸŽ‰πŸŽ‰ One paper accepted to ICML 2023 AdvML-Frontiers’ Workshop
  • 2022.08: Β πŸŽ‰πŸŽ‰ Two papers accepted to NeurIPS 2022 ML Safety Workshop

πŸ“ Publications

  • 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

  • Effective Targeted Attacks for Adversarial Self-Supervised Learning

    [paper]
    Minseon Kim, Hyeonjeong Ha, Sooel Son, Sung Ju Hwang
    NeurIPS 2023

  • Few-shot Transferable Robust Representation Learning via Bilevel Attacks

    [paper]
    Hyeonjeong Ha *, Minseon Kim *, Sung Ju Hwang
    NeurIPS 2022 ML Safety Workshop

πŸ“– Educations

  • 2024.08 - Present, Ph.D in Computer Science, UIUC.
  • 2022.02 - 2024.02, M.S. in Graduate School of AI, KAIST.
  • 2017.02 - 2022.02, B.S. in Computer Science (major) and Bio & Brain Engineering (minor), KAIST.

πŸ’» Work Experience

  • 2024.02 - 2024.07, Full-time Employee at Samsung Research, Language Intelligence Team, Seoul, South Korea.
  • 2020.09 - 2021.02, Developer Intern at NAVER, Seongnam, South Korea.
  • 2020.06 - 2020.08, Undergraduate Research Intern at KIXLAB, KAIST, Daejeon, South Korea. Prof: Juho Kim
  • 2019.06 - 2019.12, Developer Intern at H2K, Daejeon, South Korea.

πŸ‘©β€πŸ’» Academic Service

  • Reviewer: ICML (2024, 2023), NeurIPS (2023)