Multiclass Classification of Software Vulnerabilities with Deep Learning

Crystal Contreras; Hristina Dokic; Zhen Huang; Daniela Stan Raicu; Jacob Furst; Roselyne Tchoua

doi:10.1145/3587716.3587738

Multiclass Classification of Software Vulnerabilities with Deep Learning

Crystal Contreras
, Hristina Dokic
, Zhen Huang
, Daniela Stan Raicu
, Jacob Furst
, Roselyne Tchoua

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ICMLC 2023 - Proceedings of the 2023 15th International Conference on Machine Learning and Computing
Publisher	Association for Computing Machinery
Pages	134-140
Number of pages	7
ISBN (Electronic)	9781450398411
DOIs	https://doi.org/10.1145/3587716.3587738
State	Published - Feb 17 2023
Event	15th International Conference on Machine Learning and Computing, ICMLC 2023 - Hybrid, Zhuhai, China Duration: Feb 17 2023 → Feb 20 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	15th International Conference on Machine Learning and Computing, ICMLC 2023
Country/Territory	China
City	Hybrid, Zhuhai
Period	2/17/23 → 2/20/23

ASJC Scopus Subject Areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Keywords

deep learning
machine learning
neural networks
software and application security
Vulnerability classification

Access to Document

10.1145/3587716.3587738

Cite this

Contreras, C., Dokic, H., Huang, Z., Stan Raicu, D., Furst, J., & Tchoua, R. (2023). Multiclass Classification of Software Vulnerabilities with Deep Learning. In ICMLC 2023 - Proceedings of the 2023 15th International Conference on Machine Learning and Computing (pp. 134-140). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3587716.3587738

Multiclass Classification of Software Vulnerabilities with Deep Learning. / Contreras, Crystal; Dokic, Hristina; Huang, Zhen et al.
ICMLC 2023 - Proceedings of the 2023 15th International Conference on Machine Learning and Computing. Association for Computing Machinery, 2023. p. 134-140 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Contreras, C, Dokic, H, Huang, Z, Stan Raicu, D, Furst, J & Tchoua, R 2023, Multiclass Classification of Software Vulnerabilities with Deep Learning. in ICMLC 2023 - Proceedings of the 2023 15th International Conference on Machine Learning and Computing. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 134-140, 15th International Conference on Machine Learning and Computing, ICMLC 2023, Hybrid, Zhuhai, China, 2/17/23. https://doi.org/10.1145/3587716.3587738

Contreras C, Dokic H, Huang Z, Stan Raicu D, Furst J, Tchoua R. Multiclass Classification of Software Vulnerabilities with Deep Learning. In ICMLC 2023 - Proceedings of the 2023 15th International Conference on Machine Learning and Computing. Association for Computing Machinery. 2023. p. 134-140. (ACM International Conference Proceeding Series). doi: 10.1145/3587716.3587738

@inproceedings{1adc9d55f8a446e08b0adf51df283042,

title = "Multiclass Classification of Software Vulnerabilities with Deep Learning",

keywords = "deep learning, machine learning, neural networks, software and application security, Vulnerability classification",

author = "Crystal Contreras and Hristina Dokic and Zhen Huang and \{Stan Raicu\}, Daniela and Jacob Furst and Roselyne Tchoua",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 15th International Conference on Machine Learning and Computing, ICMLC 2023 ; Conference date: 17-02-2023 Through 20-02-2023",

year = "2023",

month = feb,

day = "17",

doi = "10.1145/3587716.3587738",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "134--140",

booktitle = "ICMLC 2023 - Proceedings of the 2023 15th International Conference on Machine Learning and Computing",

}

TY - GEN

T1 - Multiclass Classification of Software Vulnerabilities with Deep Learning

AU - Contreras, Crystal

AU - Dokic, Hristina

AU - Huang, Zhen

AU - Stan Raicu, Daniela

AU - Furst, Jacob

AU - Tchoua, Roselyne

PY - 2023/2/17

Y1 - 2023/2/17

KW - deep learning

KW - machine learning

KW - neural networks

KW - software and application security

KW - Vulnerability classification

UR - https://www.scopus.com/pages/publications/85173907303

UR - https://www.scopus.com/pages/publications/85173907303#tab=citedBy

U2 - 10.1145/3587716.3587738

DO - 10.1145/3587716.3587738

M3 - Conference contribution

AN - SCOPUS:85173907303

T3 - ACM International Conference Proceeding Series

SP - 134

EP - 140

BT - ICMLC 2023 - Proceedings of the 2023 15th International Conference on Machine Learning and Computing

PB - Association for Computing Machinery

T2 - 15th International Conference on Machine Learning and Computing, ICMLC 2023

Y2 - 17 February 2023 through 20 February 2023

ER -

Multiclass Classification of Software Vulnerabilities with Deep Learning

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this