CVSS-BERT: Explainable Natural Language Processing to Determine the Severity of a Computer Security Vulnerability from its Description
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[1] Vali Derhami,et al. An automatic method for CVSS score prediction using vulnerabilities description , 2015, J. Intell. Fuzzy Syst..
[2] Byron C. Wallace,et al. Attention is not Explanation , 2019, NAACL.
[3] Jasmijn Bastings,et al. The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? , 2020, BLACKBOXNLP.
[4] Jakob Grue Simonsen,et al. A Diagnostic Study of Explainability Techniques for Text Classification , 2020, EMNLP.
[5] Brandon M. Greenwell,et al. Interpretable Machine Learning , 2019, Hands-On Machine Learning with R.
[6] Alan Ritter,et al. Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media , 2019, NAACL.
[7] Hai Jin,et al. AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process , 2019, GPC.
[8] Paulo Shakarian,et al. DarkEmbed: Exploit Prediction With Neural Language Models , 2018, AAAI.
[9] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[10] Louis Rilling,et al. Fighting N-day vulnerabilities with automated CVSS vector prediction at disclosure , 2020, ARES.
[11] Yuval Pinter,et al. Attention is not not Explanation , 2019, EMNLP.
[12] Zhenchang Xing,et al. Learning to Predict Severity of Software Vulnerability Using Only Vulnerability Description , 2017, 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME).
[13] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[14] Ming-Wei Chang,et al. Well-Read Students Learn Better: On the Importance of Pre-training Compact Models , 2019 .
[15] Gerardo Canfora,et al. Summarizing vulnerabilities' descriptions to support experts during vulnerability assessment activities , 2019, J. Syst. Softw..
[16] Benjamin Edwards,et al. Exploit Prediction Scoring System (EPSS) , 2019, Digital Threats: Research and Practice.