An information-theoretic and economic game framework for adversarial robustness evaluation.
- DOI
- 10.1016/j.neunet.2026.109411
- Published
- 2027 Jan
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109411,
title = {An information-theoretic and economic game framework for adversarial robustness evaluation.},
author = {Song R and Tian Y and Li M and Zhou D and Yang Z},
year = {2027},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109411},
url = {https://doi.org/10.1016/j.neunet.2026.109411}
}RIS
TY - JOUR TI - An information-theoretic and economic game framework for adversarial robustness evaluation. AU - Song R AU - Tian Y AU - Li M AU - Zhou D AU - Yang Z PY - 2027 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109411 UR - https://doi.org/10.1016/j.neunet.2026.109411 ER -
APA
R, S., Y, T., M, L., D, Z., & Z, Y. (2027). An information-theoretic and economic game framework for adversarial robustness evaluation.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109411
Source records
- pubmed · retrieved 2026-09-26T02:11:23.935Z