Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models
- DOI
- 10.1109/tpami.2026.3703439
- Published
- 2026-10
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3703439,
title = {Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models},
author = {Jianwei Fei and Yunshu Dai and Zhihua Xia and Xiaochun Cao and Jiantao Zhou and Alessandro Piva and Benedetta Tondi},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3703439},
url = {https://doi.org/10.1109/tpami.2026.3703439}
}RIS
TY - JOUR TI - Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models AU - Jianwei Fei AU - Yunshu Dai AU - Zhihua Xia AU - Xiaochun Cao AU - Jiantao Zhou AU - Alessandro Piva AU - Benedetta Tondi PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3703439 UR - https://doi.org/10.1109/tpami.2026.3703439 ER -
APA
Fei, J., Dai, Y., Xia, Z., Cao, X., Zhou, J., Piva, A., & Tondi, B. (2026). Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3703439
Source records
- crossref · retrieved 2026-09-25T06:24:52.562Z