EP16 The Machine Learning Revolution in Reverse Engineering with Hahna Kane Latonick

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/ Join the Community Research Hub: Threat research, training events and news: https://cloud.google.com/security/flare The FLARE Insider: Get community updates and announcements. To subscribe, email flare-external@google.com FOLLOW THE SHOW: Subscribe: Apple Podcasts | Spotify | YouTube