Transformer-Based Language Models for Software Vulnerability Detection-Reference-Cited by-同舟云学术

Transformer-Based Language Models for Software Vulnerability Detection

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th Annual Computer Security Applications Conference
language:
Short-container-title:

Author:

Thapa Chandra¹^ORCID,Jang Seung Ick¹^ORCID,Ahmed Muhammad Ejaz¹^ORCID,Camtepe Seyit¹^ORCID,Pieprzyk Josef²^ORCID,Nepal Surya¹^ORCID

Affiliation:

1. CSIRO's Data61, Australia

2. CSIRO's Data61, Australia and Institute of Computer Science, Polish Academy of Sciences, Poland

Funder

US Army International Technology Center Indo-Pacific

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3564625.3567985

Reference46 articles.

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2. Anaconda. [n. d.]. Anaconda. https://www.anaconda.com Anaconda. [n. d.]. Anaconda. https://www.anaconda.com

3. Kyunghyun Cho Bart van Merrienboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. (2014). https://doi.org/10.48550/ARXIV.1406.1078 10.48550/ARXIV.1406.1078

4. Kyunghyun Cho Bart van Merrienboer Caglar Gulcehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. (2014). https://doi.org/10.48550/ARXIV.1406.1078

5. Coverity. 2022. Coverity. https://scan.coverity.com/ Coverity. 2022. Coverity. https://scan.coverity.com/

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