Threat Class Predictor: An explainable framework for predicting vulnerability threat using topic and trend modeling

François Labrèche, Serge-Olivier Paquette. Threat Class Predictor: An explainable framework for predicting vulnerability threat using topic and trend modeling. In Edward Raff, Sagar Samtani, Lauren Deason, editors, Proceedings of the Conference on Applied Machine Learning in Information Security, CAMLIS 2022, Arlington, Virginia, USA, October 20-21, 2022. Volume 3391 of CEUR Workshop Proceedings, pages 113-124, CEUR-WS.org, 2022. [doi]

Abstract

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