notesum.ai
Published at December 6SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
cs.CV
Released Date: December 6, 2024
Authors: Zilan Wang1, Junfeng Guo2, Jiacheng Zhu3, Yiming Li1, Heng Huang2, Muhao Chen4, Zhengzhong Tu5
Aff.: 1NTU; 2University of Maryland; 3MIT CSAIL; 4UC Davis; 5Texas A&M University

| LoRA Rank | 20 | 80 | 320 | 640 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fine-tuning Steps | 20 | 200 | 2000 | 20 | 200 | 2000 | 20 | 200 | 2000 | 20 | 200 | 2000 | |||
| WatermarkDM | 0.875 | 0.742 | 0.000 | 0.856 | 0.684 | 0.000 | 0.861 | 0.483 | 0.000 | 0.852 | 0.138 | 0.000 | |||
| AquaLoRA | 0.818 | 0.001 | 0.000 | 0.803 | 0.000 | 0.000 | 0.805 | 0.000 | 0.000 | 0.846 | 0.000 | 0.000 | |||
| SleeperMark | 0.999 | 0.998 | 0.992 | 0.999 | 0.997 | 0.993 | 0.999 | 0.999 | 0.984 | 0.999 | 0.997 | 0.980 | |||