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Explore a 23-minute conference talk on a Deep Learning-based Code Authorship Identification System (DL-CAIS) that enables large-scale, language-oblivious, and obfuscation-resilient code authorship attribution. Learn about efficient extraction of code authorship attributes, the system's architecture, and its performance through experiments and results. Gain insights into this innovative approach for identifying code authors across various programming languages and at scale.
