In this episode of Behind the Binary, we're joined by renowned security researcher Hahna Kane Latonick for a deep dive into the powerful world where reverse engineering meets data science. Hahna shares her expertise on how techniques like supervised and unsupervised learning can be used to classify and predict security threats, and she explains how deep learning and neural networks are being applied to identifying code sharing and solving other classification problems. We also discuss how Generative AI is transforming reverse engineering, from augmenting and assisting workflows to driving fully automated analysis.

Resources mentioned during the episode:

https://dronewolf.darkwolf.io/

https://asrp.darkwolf.io/

https://ringzer0.training/countermeasure25-machine-learning-for-reverse-engineers/