Effect of spatial speckle mixing on data poisoning vulnerability in deep-learning-based scattering imaging

Daiki Shingu, Koki Oishi, Wataru Watanabe

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DOI: 10.1007/s10043-026-01068-0
Published: 2026-08
Container: Optical Review
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10043-026-01068-0,
  title = {Effect of spatial speckle mixing on data poisoning vulnerability in deep-learning-based scattering imaging},
  author = {Daiki Shingu and Koki Oishi and Wataru Watanabe},
  year = {2026},
  journal = {Optical Review},
  doi = {10.1007/s10043-026-01068-0},
  url = {https://doi.org/10.1007/s10043-026-01068-0}
}

RIS

TY  - JOUR
TI  - Effect of spatial speckle mixing on data poisoning vulnerability in deep-learning-based scattering imaging
AU  - Daiki Shingu
AU  - Koki Oishi
AU  - Wataru Watanabe
PY  - 2026
JO  - Optical Review
DO  - 10.1007/s10043-026-01068-0
UR  - https://doi.org/10.1007/s10043-026-01068-0
ER  -

APA

Shingu, D., Oishi, K., & Watanabe, W. (2026). Effect of spatial speckle mixing on data poisoning vulnerability in deep-learning-based scattering imaging. Optical Review. https://doi.org/10.1007/s10043-026-01068-0

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crossref · retrieved 2026-11-04T04:28:38.563Z