Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529

This article discusses an episode of the "Practical AI" podcast featuring Edward Raff, a chief scientist specializing in the intersection of machine learning and cybersecurity, particularly malware analysis and detection. The conversation covers the evolution of adversarial machine learning, Raff's recent research on adversarial transfer attacks, and the simulation of class disparity to lower success rates. The discussion also touches upon future directions for adversarial attacks, including the use of graph neural networks. The episode's show notes are available at twimlai.com/go/529.