[Update]Add content of our project on about.py

src/about.py

@@ -23,9 +23,13 @@ NUM_FEWSHOT = 0 # Change with your few shot
 # Your leaderboard name
 TITLE = """<h1 align="center" id="space-title">UnlearnDiffAtk Benchmark</h1>"""
 
+# subtitle
+SUB_TITLE = """<h2 align="center" id="space-title">Effective and efficient adversarial prompt generation approach for diffusion models</h1>"""
+
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
-Intro 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), chek the [code](https://github.com/OPTML-Group/Diffusion-MU-Attack), and read the [paper](https://arxiv.org/abs/2310.11868).
 """
 
 # Which evaluations are you running? how can people reproduce what you have?
@@ -69,4 +73,10 @@ If everything is done, check you can launch the EleutherAIHarness on your model
 
 CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
 CITATION_BUTTON_TEXT = r"""
+@article{zhang2023generate,
+  title={To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images... For Now},
+  author={Zhang, Yimeng and Jia, Jinghan and Chen, Xin and Chen, Aochuan and Zhang, Yihua and Liu, Jiancheng and Ding, Ke and Liu, Sijia},
+  journal={arXiv preprint arXiv:2310.11868},
+  year={2023}
+}
 """