Spaces:
Sleeping
Sleeping
| title: MemGuard | |
| emoji: 🛡️ | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.19.0 | |
| python_version: '3.11' | |
| app_file: app/demo.py | |
| pinned: false | |
| license: mit | |
| short_description: Memorization detection for Stable Diffusion v1.4 | |
| # 🛡️ MemGuard | |
| Detect **training-data memorization** in Stable Diffusion v1.4 outputs. | |
| Enter a prompt → MemGuard generates the image and scores it with the | |
| anisotropy-of-log-probability metric from | |
| [Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the | |
| Log-Probability](https://openreview.net/forum?id=HTPGy5ydAY) (ICLR 2026). Scores | |
| at/above the **0.9** threshold are flagged as memorized. | |
| **Source code, library, API & Docker:** https://github.com/rohanasthana/memguard | |
| > **Note:** this Space runs on free CPU hardware, so image generation is slow | |
| > (~100 s/denoising step). Lower the image-steps slider to finish sooner. | |