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Tsetlin Machine Framework for Interpretable PDF Malware Detection
- Engineer — Learn: Academic proposal for interpretable static PDF analysis using Tsetlin Machines; no tooling released or integrated into common pipelines, but the interpretability angle is worth tracking for teams building or evaluating ML-based malware classifiers.
- SOC/IR — Learn: The interpretability feature could eventually improve analyst trust in ML-based PDF triage, but no detection rules, IOCs, or deployable tooling accompany this research paper.
- Leader — Skip
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