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yanminglai / Malware-GAN

Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
https://arxiv.org/abs/1702.05983
GNU General Public License v3.0
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Unclear Output #4

Open athirapvi opened 5 years ago

athirapvi commented 5 years ago

Running the python file exp.py gives the below shown output. Could you please explain what it indicates.

Original_Train_TRR: 0.979890310786106, Adver_Train_TRR: 0.013711151736745886 Original_Test_TRR: 0.9854014598540146, Adver_Test_TRR: 0.0072992700729927005

yanminglai commented 5 years ago

The numbers stand for true positive rates which means to the effectiveness to identify a malware example. I take 80% of the dataset as a training set, the rest are treated as the testing set.

bedangSen commented 5 years ago

Where do I find the generated malware? @yanminglai