[Update]Add two demo links

src/about.py

@@ -31,6 +31,8 @@ INTRODUCTION_TEXT = """
 This benchmark is evaluates the robustness of safety-driven unlearned diffusion models (DMs) 
 (i.e., DMs after unlearning undesirable concepts, styles, or objects) across a variety of tasks. For more details, please visit the [project](https://www.optml-group.com/posts/mu_attack), 
 check the [code](https://github.com/OPTML-Group/Diffusion-MU-Attack), and read the [paper](https://arxiv.org/abs/2310.11868).
+For demo of our offensive method: [UnlearnDiffAtk](https://huggingface.co/spaces/xinchen9/SD_Offense)\\
+demo of defensive method: [AdvUnlearn](https://huggingface.co/spaces/xinchen9/SD_Defense)
 """
 
 # Which evaluations are you running? how can people reproduce what you have?