Vulnerability Intelligence Alignment via Masked Graph Attention Networks-Reference-Cited by-同舟云学术

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Vulnerability Intelligence Alignment via Masked Graph Attention Networks

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
language:
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Author:

Qin Yue¹^ORCID,Xiao Yue¹^ORCID,Liao Xiaojing¹^ORCID

Affiliation:

1. Indiana University Bloomington, Bloomington, IN, USA

Funder

Indiana University Institute for Advanced Study (IAS)

NSF

Grant Thornton Institute.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3616686

Reference96 articles.

1. 2010. CVEexploit. https://www.exploit-db.com/exploits/15802.

2. 2010. ICSA-10--214-01. https://www.cisa.gov/uscert/ics/advisories/ICSA-10-214-01.

3. 2011. ICSA-11-017-01. https://www.cisa.gov/uscert/ics/advisories/ICSA-11-017-01.

4. 2015. Csoonline. https://www.csoonline.com/article/3122460/over-6000-vulnerabilities-went-unassigned-by-mitres-cve-project-in-2015.html.

5. 2015. VulnDB. https://vulndb.cyberriskanalytics.com.

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