OVANA: An Approach to Analyze and Improve the Information Quality of Vulnerability Databases-Reference-Cited by-同舟云学术

OVANA: An Approach to Analyze and Improve the Information Quality of Vulnerability Databases

Published:2021-08-17 Issue: Volume: Page:
ISSN:
Container-title:The 16th International Conference on Availability, Reliability and Security
language:
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Author:

Kuehn Philipp¹,Bayer Markus¹,Wendelborn Marc¹,Reuter Christian¹

Affiliation:

1. Science and Technology for Peace and Security (PEASEC), Technical University of Darmstadt, Germany

Funder

Bundesministerium für Bildung und Forschung

Hessisches Ministerium für Wissenschaft und Kunst

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3465481.3465744

Reference36 articles.

1. Attack Potential in Impact and Complexity

2. Markus Bayer Marc-André Kaufhold Björn Buchhold Marcel Keller Jörg Dallmeyer and Christian Reuter. 2021. Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers. arxiv:2103.14453 [cs.CL] Markus Bayer Marc-André Kaufhold Björn Buchhold Marcel Keller Jörg Dallmeyer and Christian Reuter. 2021. Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers. arxiv:2103.14453 [cs.CL]

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