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Last updated on
Jul 31, 2021, 02:48 pm
In our pursuit to develop better software that powers our everyday lives, we seem to have forgotten that malware can be hidden in almost anything that runs on a computer.
According to a recent study, malware can be embedded into the neural networks of a machine learning model so effectively that it cannot be detected, all while the neural network continues to operate normally.
Malware-embedded neural network model had just 1% more errors
A research paper published recently by Zhi Wang, Chaoge Liu, and Xiang Cui presented a method of hiding 36.9MB of malware in a 178MB AlexNet model designed to classify images.
The malware-embedded model was able to perform within a 1% error margin of the original malware-free image classification model.
The malware embedded in the model also managed to avoid detection.
Malware remained undetected by 50 common antivirus programs