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Detection by Attack: Detecting Adversarial Samples by Undercover Attack

Python 77.27% Jupyter Notebook 22.73%
adversarial-detection adversarial-samples fgsm bim jsma cw undercover-attack dba

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dba's Issues

the target of the bim attack in the code?

  1. Why in the code, the y of the undercover attack in the MLP stage is 0 and 1, instead of predicting the label ?the paper mentioned that the target of the undercover attack is the prediction of the model.
  2. Why doesn't undercoverNet need to open the test mode? undercoverNet.eval()?

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