Quantum Machine Learning for Malware Classification. (arXiv:2305.09674v1 [cs.CR])

In a context of malicious software detection, machine learning (ML) is widely
used to generalize to new malware. However, it has been demonstrated that ML
models can be fooled or may have generalization problems on malware that has
never been seen. We investigate the possible benefits of quantum algorithms for
classification tasks. We implement two models of Quantum Machine Learning
algorithms, and we compare them to classical models for the classification of a
dataset composed of malicious and benign executable …

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