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Titlebook: Machine Learning under Malware Attack; Raphael Labaca-Castro Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive li

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Stochastic MethodAs introduced in Part II, FAME is built in a modular fashion to allow increased compatibility with further extensions.
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Gradient OptimizationSince further domains, such as computer vision, highly consider white-box settings using, for example, gradient attacks, we also investigated these for malware classification.
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Conclusions & OutlookIn this chapter, we conclude our work by providing a brief summary of our research and the main contributions presented. Next, we reflect on the lessons learned by connecting the dots and provide potential directions for future work.
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