La-Casette/malicious_pdf_detection
This project compares the performance of K-Nearest Neighbors, Support Vector Machines, and Decision Trees models for detecting malicious PDF files, with an emphasis on optimizing model performance and analyzing evasion techniques. It provides a comprehensive overview of machine learning for malicious PDF detection and potential vulnerabilities.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Jan 22, 2023
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