- Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models (CVPR, 2025)
- DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing (ICLR, 2025)
- DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models (AAAI, 2025, Oral Presentation)
- Collaborative Score Distillation for Consistent Visual Editing (NeurIPS, 2023)
Education
Korea Advanced Institute of Science and Technology (KAIST), Ph.D. in progress, advised by Prof. Kimin Lee and Prof. Jinwoo Shin.
Background
Third-year Ph.D. student at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Kimin Lee and Prof. Jinwoo Shin. His research focuses on enhancing the efficiency and controllability of generative models, with a primary focus on image and video diffusion models.