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Learn how to transform software binaries into machine learning-ready training datasets through this 39-minute conference talk from the 44CON Information Security Conference. Discover the methodologies and techniques for converting binary files into structured data formats suitable for machine learning applications, exploring the intersection of reverse engineering and artificial intelligence. Gain insights into the preprocessing steps, feature extraction methods, and data preparation workflows necessary to make binary code accessible for ML algorithms. Understand the practical applications of this approach in cybersecurity, malware analysis, and software classification tasks, while examining the challenges and solutions involved in bridging the gap between low-level binary data and high-level machine learning models.
