Vulnerable JavaScript functions detection using stacking of convolutional neural networks.

Sheneamer A

DOI: 10.7717/peerj-cs.1838
Published: 2024
Container: PeerJ. Computer science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.1838,
  title = {Vulnerable JavaScript functions detection using stacking of convolutional neural networks.},
  author = {Sheneamer A},
  year = {2024},
  journal = {PeerJ. Computer science},
  doi = {10.7717/peerj-cs.1838},
  url = {https://doi.org/10.7717/peerj-cs.1838}
}

RIS

TY  - JOUR
TI  - Vulnerable JavaScript functions detection using stacking of convolutional neural networks.
AU  - Sheneamer A
PY  - 2024
JO  - PeerJ. Computer science
DO  - 10.7717/peerj-cs.1838
UR  - https://doi.org/10.7717/peerj-cs.1838
ER  -

APA

A, S. (2024). Vulnerable JavaScript functions detection using stacking of convolutional neural networks.. PeerJ. Computer science. https://doi.org/10.7717/peerj-cs.1838

Source records

pubmed · retrieved 2026-09-26T17:33:29.899Z