Static Detection of Novel Malware Using Transfer Learning with Deep Neural Networks

Explore cutting-edge techniques for detecting novel malware through a 50-minute conference talk from BSidesLV 2021. Delve into the application of transfer learning with deep neural networks for static malware detection, presented by Emily Rexer and Henry Reed. Gain insights into advanced cybersecurity methods that leverage machine learning to identify previously unknown threats. Learn how these innovative approaches can enhance malware detection capabilities and strengthen overall system security.