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b'Today we\\u2019re joined by Edward Raff, chief scientist and head of the machine learning research group at Booz Allen Hamilton. Edward\\u2019s work sits at the intersection of machine learning and cybersecurity, with a particular interest in malware analysis and detection. In our conversation, we look at the evolution of adversarial ML over the last few years before digging into Edward\\u2019s recently released paper, Adversarial Transfer Attacks With Unknown Data and Class Overlap. In this paper, Edward and his team explore the use of adversarial transfer attacks and how they\\u2019re able to lower their success rate by simulating class disparity. Finally, we talk through quite a few future directions for adversarial attacks, including his interest in graph neural networks.\\n\\nThe complete show notes for this episode can be found at twimlai.com/go/529.'