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Homework2

You could change the file path of the dataset and run the code on google colab.

What I have done:

  1. Filled the “To-do” session in Homework_2_wz2295.ipynb. Produced three h5 files with different required X{2%, 4%, 10%}, and I have uploaded those files.

Apply eval.py on them to get the acc and asr:

X= 2% image

X= 4% image

X= 10% image

  1. Draw a table with the accuracy on clean test data and the attack success rate (on backdoored test data) as a function of the fraction of channels pruned (X). (In the report)

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