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Update src/about.py

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@@ -46,7 +46,7 @@ To reproduce our results, here is the commands you can run:
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  EVALUATION_QUEUE_TEXT = """
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  Evaluation Metrics: Attack success rate (ASR) into two categories: (1) the pre-attack success rate (pre-ASR), and (2) the post-attack success.
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- rate (post-ASR). Both are percentage formula
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  Fréchet inception distance(FID) into two categories:(1): the FID of image generated by Base Model (Pre-FID),and
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  (2) The FID of images generated by Unlearned Methods (Post-FID).\\
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  (3) CLIP (Contrastive Language-Image Pretraining) Score is an established method to measure an image’s proximity to a text.\\
 
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  EVALUATION_QUEUE_TEXT = """
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  Evaluation Metrics: Attack success rate (ASR) into two categories: (1) the pre-attack success rate (pre-ASR), and (2) the post-attack success.
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+ rate (post-ASR). Both are percentage formula.\\
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  Fréchet inception distance(FID) into two categories:(1): the FID of image generated by Base Model (Pre-FID),and
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  (2) The FID of images generated by Unlearned Methods (Post-FID).\\
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  (3) CLIP (Contrastive Language-Image Pretraining) Score is an established method to measure an image’s proximity to a text.\\