Toward Improved Deep Learning-based Vulnerability Detection-Reference-Cited by-同舟云学术

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Toward Improved Deep Learning-based Vulnerability Detection

Published:2024-02-06 Issue: Volume: Page:1-12
ISSN:
Container-title:Proceedings of the IEEE/ACM 46th International Conference on Software Engineering
language:
Short-container-title:

Author:

Sejfia Adriana¹^ORCID,Das Satyaki¹^ORCID,Shafiq Saad²^ORCID,Medvidović Nenad³^ORCID

Affiliation:

1. University of Southern California, Los Angeles, USA

2. Johannes Kepler University, Linz, Austria

3. University of Southern California, Los Angeles, United States of America

Funder

Department of Homeland Security

National Science Foundation

Google PhD Fellowship

Austrian Science Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597503.3608141

Reference43 articles.

1. [n.d.]. CVE-2014-3647. https://nvd.nist.gov/vuln/detail/CVE-2014-3647

2. [n.d.]. CVE-2017-0596. https://nvd.nist.gov/vuln/detail/CVE-2017-0596

3. [n.d.]. CVE-2021-33815. https://nvd.nist.gov/vuln/detail/CVE-2021-33815

4. [n.d.]. FFmpeg's Website. https://ffmpeg.org/

5. [n.d.]. Fix of buffer overflow in QEMU. https://github.com/qemu/qemu/commit/a32354e206895400d17c3de9a8df1de96d3df289

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