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Adversarial Machine Learning in Cybersecurity: Attacks and Defenses
Adversarial Machine Learning (AML) refers to the research field that involves testing and improving machine learning models by introducing adversarial samples or attack techniques. In the cybersecurity domain, AML has significant potential to help identify and defend against threats such as malware,
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