Hamda Bouzabia, Tri Nhu Do and Georges Kaddoum
Article (2025)
An external link is available for this item| Department: | Department of Electrical Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/66388/ |
| Journal Title: | IEEE Transactions on Vehicular Technology |
| Publisher: | Institute of Electrical and Electronics Engineers |
| DOI: | 10.1109/tvt.2025.3583924 |
| Official URL: | https://doi.org/10.1109/tvt.2025.3583924 |
| Date Deposited: | 30 Jun 2025 12:08 |
| Last Modified: | 30 Jun 2025 12:08 |
| Cite in APA 7: | Bouzabia, H., Do, T. N., & Kaddoum, G. (2025). Generative AI-empowered Resilient Adaptive ISAC Against Adversarial Machine Learning Attacks. IEEE Transactions on Vehicular Technology, 16 pages. https://doi.org/10.1109/tvt.2025.3583924 |
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