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Explore a 20-minute conference talk from USENIX WOOT '24 that delves into using Neural Machine Translation (NMT) to automatically generate offensive PowerShell code from natural language descriptions. Learn how researchers from the University of Naples Federico II investigated AI code generation specifically for PowerShell, a language frequently utilized by both malicious actors and cybersecurity professionals in Windows environments. Discover the development of two novel datasets - one with manually curated natural language descriptions and another code-only collection - used to train and evaluate state-of-the-art NMT models. Examine the comparative analysis between the researchers' fine-tuned models and ChatGPT, revealing how specialized training can enhance the generation of offensive PowerShell code for cybersecurity applications.
