Delving into the adversarial robustness of semantic segmentation with decision-based black-box attacks.
- DOI
- 10.1016/j.neunet.2026.109020
- Published
- 2026 Oct
- 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.2026.109020,
title = {Delving into the adversarial robustness of semantic segmentation with decision-based black-box attacks.},
author = {Chen Z and Shan Z and Chang J and Jiang K and Yang D and Cheng Y and Li J and Zhang W},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109020},
url = {https://doi.org/10.1016/j.neunet.2026.109020}
}RIS
TY - JOUR TI - Delving into the adversarial robustness of semantic segmentation with decision-based black-box attacks. AU - Chen Z AU - Shan Z AU - Chang J AU - Jiang K AU - Yang D AU - Cheng Y AU - Li J AU - Zhang W PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109020 UR - https://doi.org/10.1016/j.neunet.2026.109020 ER -
APA
Z, C., Z, S., J, C., K, J., D, Y., Y, C., J, L., & W, Z. (2026). Delving into the adversarial robustness of semantic segmentation with decision-based black-box attacks.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109020
Source records
- pubmed · retrieved 2026-09-25T19:41:41.368Z