Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables.

European Signal Processing Conference, pp. 533-537, 2018.

被引用73|浏览58
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摘要

Machine learning has already been exploited as a useful tool for detecting malicious executable files. Data retrieved from malware samples, such as header fields, instruction sequences, or even raw bytes, is leveraged to learn models that discriminate between benign and malicious software. However, it has also been shown that machine lear...更多

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