Communications of the ACM
Researchers Hid Malware Inside an AI's 'Neurons' And It Worked Scarily Well
The authors concluded that a 178MB AlexNet model can have up to 36.9MB of malware embedded into its structure without being detected using a technique called steganography.
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Neural networks could be the next frontier for malware campaigns as they become more widely used, according to a new study.
According to the study, which was posted to the arXiv preprint server on Monday, malware can be embedded directly into the artificial neurons that make up machine learning models in a way that keeps them from being detected. The neural network would even be able to continue performing its set tasks normally.
"As neural networks become more widely used, this method will be universal in delivering malware in the future," the authors, from the University of the Chinese Academy of Sciences, write.
From Vice
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