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

🔥 News

• 2025.01:  🎉🎉 Excited to start Machine Learning Research Internship at Apple from Summer 2025!
• 2024.08:  🤘🤘 Excited to start my Ph.D. program at UIUC!
• 2023.09:  🎉🎉 Two paper accepted to NeurIPS 2023 Conference
• 2023.06:  🎉🎉 One paper accepted to ICML 2023 AdvML-Frontiers’ Workshop
• 2022.08:  🎉🎉 Two papers accepted to NeurIPS 2022 ML Safety Workshop

📝 Publications

• MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks

  [paper]
  Hyeonjeong Ha *, Qiusi Zhan *, Jeonghwan Kim, Dimitrios Bralios, Saikrishna Sanniboina, Nanyun Peng, Kai-wei Chang, Heng Ji (*: equal contribution)
  preprint

• SYNTHIA: Novel Concept Design with Affordance Composition

  [paper]
  Xiaomeng Jin *, Hyeonjeong Ha *, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang, Khanh Duy Nguyen, Ansel Blume, Nanyun Peng, Kai-wei Chang, Heng Ji (*: equal contribution)
  preprint

• 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

📖 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.

💻 Work Experience

• 2025.05 - 2025.08, Machine Learning Research Intern at Apple, Data & Machine Learning Innovation team, Seattle, WA, USA.
• 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.

👩‍💻 Academic Service

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