PFEemp2024 commited on
Commit
18b7cae
1 Parent(s): dca04a7

adding table explanation

Browse files
Files changed (1) hide show
  1. app.py +12 -7
app.py CHANGED
@@ -316,9 +316,11 @@ if __name__ == "__main__":
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  label="Adversarial Example Detection Result"
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  )
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  gr.Markdown(
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- " - The is_adversarial field indicates if an adversarial example is detected. "
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- " - The perturbed_label is the predicted label of the adversarial example. "
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- " - The confidence field represents the ratio of Inverted samples among the total number of generated candidates. "
 
 
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  )
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  with gr.Column():
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  with gr.Group():
@@ -326,10 +328,13 @@ if __name__ == "__main__":
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  label="Correction Classification Result"
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  )
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  gr.Markdown(
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- "If is_corrected=true, it has been Corrected by DCWIR. "
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- "The pred_label field indicates the standard classification result. "
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- "The confidence field represents ratio of the dominant class among all Inverted candidates."
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- "The is_correct field indicates whether the predicted label is correct."
 
 
 
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  )
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  # Bind functions to buttons
 
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  label="Adversarial Example Detection Result"
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  )
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  gr.Markdown(
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+ """
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+ - The is_adversarial field indicates if an adversarial example is detected.
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+ - The perturbed_label is the predicted label of the adversarial example.
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+ - The confidence field represents the ratio of Inverted samples among the total number of generated candidates.
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+ """
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  )
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  with gr.Column():
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  with gr.Group():
 
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  label="Correction Classification Result"
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  )
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  gr.Markdown(
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+ """
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+ - If is_corrected=true, it has been Corrected by DCWIR.
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+ - The pred_label field indicates the standard classification result.
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+ - The confidence field represents ratio of the dominant class among all Inverted candidates.
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+ - The is_correct field indicates whether the predicted label is correct.
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+
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+ """
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  )
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  # Bind functions to buttons