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 Gen...
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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 Gen...
EP15 Getting Ready for FLARE-On 12 - An Inside Look at the Reverse Engineering Gauntlet
Behind the Binary by Google Cloud Security
39 minutes
2 weeks ago
EP15 Getting Ready for FLARE-On 12 - An Inside Look at the Reverse Engineering Gauntlet
In this episode, we're "Getting Ready for FLARE-On 12" with an inside look at the world-renowned reverse engineering competition. We’re joined by long-time FLARE-On host and challenge author Nick Harbour and regular challenge author Blas Kojusner for an in-depth conversation. We'll take a brief tour of FLARE-On history and discuss how it has grown into a must-do event for malware analysts and reverse engineers. We’ll also break down how the competition works, from the evolution of the unique ...
Behind the Binary by Google Cloud Security
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 Gen...
