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With the rise of the popularity of machine learning (ML), it has been shown that ML-based classifiers are susceptible to adversarial examples and concept drifti

Machine learning (ML) has come to be widely used in a broad array of settings, including important security applications such as network intrusion, fraud, and m

This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based tec

The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11â€"12, 201

Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machin