RIT-PDFMal-2026

Interpretable Tsetlin Machine framework achieves 98% accuracy in PDF malware detection

Researchers have developed a new interpretable Tsetlin Machine (TM) framework for detecting malware embedded in PDF files. This method uses static analysis to extract features from PDFs without executing them, then appl…