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Interactive demonstration of "Hybrid Machine Learning Models for CVE Exploitation Prediction" - a research paper addressing temporal bias in CVE exploitation prediction.

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Hybrid Machine Learning Models for CVE Exploitation Prediction

AlBedah, Gashi, & Howe | Centre for Software Reliability, City St George's, University of London

Data: 327K+ CVEs | 40K+ Exploited | 7 Intelligence Sources | AUC 0.9913

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