Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529
Published:Oct 21, 2021 16:36
•1 min read
•Practical AI
Analysis
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.
Key Takeaways
Reference
“In this paper, Edward and his team explore the use of adversarial transfer attacks and how they’re able to lower their success rate by simulating class disparity.”