Methods and apparatus to perform malware detection using a generative adversarial network
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United States of America
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Apr 5, 2022
Grant Date -
Apr 1, 2021
app pub date -
Sep 30, 2019
filing date -
Sep 30, 2019
priority date (Note) -
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Abstract
Methods, apparatus, systems and articles of manufacture are disclosed to perform malware detection using a generative adversarial network. An example apparatus includes a first encoder network to encode an input sample into a first encoded sample, the first encoder network implemented using a multilayer perception (MLP) network, a generator network to reconstruct the first encoded sample to generate a reconstructed sample, a discriminator network to, in response to obtaining the first encoded sample and the reconstructed sample, generate a loss function based on the reconstructed sample and the input sample, and an optimization processor to, when the loss function satisfies a threshold loss value, classify the input sample as malicious.
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