refine

src/about.py

@@ -29,21 +29,21 @@ SUB_TITLE = """<h2 align="center" id="space-title">Effective and efficient adver
 # What does your leaderboard evaluate?
 INTRODUCTION_TEXT = """
 This benchmark evaluates the <strong>robustness and utility retaining</strong> of safety-driven unlearned diffusion models (DMs) across a variety of tasks. For more details, please visit the [project](https://www.optml-group.com/posts/mu_attack).
-- The robustness of unlearned DM is evaluated through our proposed adversarial prompt attack, [UnlearnDiffAtk](https://github.com/OPTML-Group/Diffusion-MU-Attack), which has been accepted to ECCV 2024.
-- The utility retaining of unlearned DM is evaluated through FID and CLIP score on the generated images using [10K randomly sampled COCO caption prompts](https://github.com/OPTML-Group/Diffusion-MU-Attack/blob/main/prompts/coco_10k.csv). 
+- The <strong>robustness</strong> of unlearned DM is evaluated through our proposed adversarial prompt attack, [UnlearnDiffAtk](https://github.com/OPTML-Group/Diffusion-MU-Attack), which has been accepted to ECCV 2024.
+- The <strong>utility retaining</strong> of unlearned DM is evaluated through FID and CLIP score on the generated images using [10K randomly sampled COCO caption prompts](https://github.com/OPTML-Group/Diffusion-MU-Attack/blob/main/prompts/coco_10k.csv). 
 
 Demo of our offensive method: [UnlearnDiffAtk](https://huggingface.co/spaces/Intel/UnlearnDiffAtk)\\
 Demo of our defensive method: [AdvUnlearn](https://huggingface.co/spaces/Intel/AdvUnlearn)
 """
 
 EVALUATION_QUEUE_TEXT = """
-<strong>Evaluation Metrics</strong>: 
+<strong>\[Evaluation Metrics\]</strong>: 
 - Pre-Attack Success Rate (<strong>Pre-ASR</strong>): lower is better;   
 - Post-attack success rate (<strong>Post-ASR</strong>): lower is better; 
 - Fréchet inception distance(<strong>FID</strong>):  evaluate distributional quality of image generations, lower is better; 
 - <strong>CLIP Score</strong>: measure contextual alignment with prompt descriptions, higher is better. 
 
-<strong>DM Unlearning Tasks</strong>: 
+<strong>\[DM Unlearning Tasks\]</strong>: 
 - NSFW: Nudity
 - Style: Van Gogh
 - Objects: Church, Tench, Parachute, Garbage Truck