Threat in Frequency: Unveiling Hidden Attack Surfaces by Exploiting Stealthy Backdoors on Diffusion Models.
- DOI
- 10.1109/tpami.2026.3712043
- Published
- 2026 Jul 9
- Container
- IEEE transactions on pattern analysis and machine intelligence
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3712043,
title = {Threat in Frequency: Unveiling Hidden Attack Surfaces by Exploiting Stealthy Backdoors on Diffusion Models.},
author = {Xie J and Liu J and Zhang F and Li D and Fu X and Zha ZJ},
year = {2026},
journal = {IEEE transactions on pattern analysis and machine intelligence},
doi = {10.1109/tpami.2026.3712043},
url = {https://doi.org/10.1109/tpami.2026.3712043}
}RIS
TY - JOUR TI - Threat in Frequency: Unveiling Hidden Attack Surfaces by Exploiting Stealthy Backdoors on Diffusion Models. AU - Xie J AU - Liu J AU - Zhang F AU - Li D AU - Fu X AU - Zha ZJ PY - 2026 JO - IEEE transactions on pattern analysis and machine intelligence DO - 10.1109/tpami.2026.3712043 UR - https://doi.org/10.1109/tpami.2026.3712043 ER -
APA
J, X., J, L., F, Z., D, L., X, F., & ZJ, Z. (2026). Threat in Frequency: Unveiling Hidden Attack Surfaces by Exploiting Stealthy Backdoors on Diffusion Models.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2026.3712043
Source records
- pubmed · retrieved 2026-09-25T06:59:43.435Z