Breaking Neural Networks Through Algebraic Lens: A Preliminary Analysis of Mathematical Vulnerabilities in AI Architectures
- DOI
- 10.1109/access.2025.3643516
- Published
- 2025
- 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.2025.3643516,
title = {Breaking Neural Networks Through Algebraic Lens: A Preliminary Analysis of Mathematical Vulnerabilities in AI Architectures},
author = {Sandeep Gupta and Budesh Kanwer and Pankaj Dadheech and Sumit Srivastava},
year = {2025},
journal = {IEEE Access},
doi = {10.1109/access.2025.3643516},
url = {https://doi.org/10.1109/access.2025.3643516}
}RIS
TY - JOUR TI - Breaking Neural Networks Through Algebraic Lens: A Preliminary Analysis of Mathematical Vulnerabilities in AI Architectures AU - Sandeep Gupta AU - Budesh Kanwer AU - Pankaj Dadheech AU - Sumit Srivastava PY - 2025 JO - IEEE Access DO - 10.1109/access.2025.3643516 UR - https://doi.org/10.1109/access.2025.3643516 ER -
APA
Gupta, S., Kanwer, B., Dadheech, P., & Srivastava, S. (2025). Breaking Neural Networks Through Algebraic Lens: A Preliminary Analysis of Mathematical Vulnerabilities in AI Architectures. IEEE Access. https://doi.org/10.1109/access.2025.3643516
Source records
- crossref · retrieved 2026-09-25T22:39:26.706Z