LSGAN-AT: enhancing malware detector robustness against adversarial examples
Abstract Adversarial Malware Example (AME)-based adversarial training can effectively enhance the robustness of Machine Learning (ML)-based malware detectors against AME. AME quality is a key factor to the robustness enhancement. Generative Adversarial Network (GAN) is a kind of AME generation metho...
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Autores principales: | , , , , |
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Formato: | article |
Lenguaje: | EN |
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SpringerOpen
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/6cd390847dbd4392914b322c5efd1529 |
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