A Comparison of Re-Sampling Techniques for Detection of Multi-Step Attacks on Deep Learning Models
- DOI
- 10.1109/access.2023.3332512
- Published
- 2023
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2023.3332512,
title = {A Comparison of Re-Sampling Techniques for Detection of Multi-Step Attacks on Deep Learning Models},
author = {Muhammad Hassan Jamal and Naila Naz and Muazzam A. Khan Khattak and Faisal Saeed and Saad Nasser Altamimi and Sultan Noman Qasem},
year = {2023},
journal = {IEEE Access},
doi = {10.1109/access.2023.3332512},
url = {https://doi.org/10.1109/access.2023.3332512}
}RIS
TY - JOUR TI - A Comparison of Re-Sampling Techniques for Detection of Multi-Step Attacks on Deep Learning Models AU - Muhammad Hassan Jamal AU - Naila Naz AU - Muazzam A. Khan Khattak AU - Faisal Saeed AU - Saad Nasser Altamimi AU - Sultan Noman Qasem PY - 2023 JO - IEEE Access DO - 10.1109/access.2023.3332512 UR - https://doi.org/10.1109/access.2023.3332512 ER -
APA
Jamal, M. H., Naz, N., Khattak, M. A. K., Saeed, F., Altamimi, S. N., & Qasem, S. N. (2023). A Comparison of Re-Sampling Techniques for Detection of Multi-Step Attacks on Deep Learning Models. IEEE Access. https://doi.org/10.1109/access.2023.3332512
Source records
- crossref · retrieved 2026-11-10T10:14:19.963Z