Effective Backdoor Learning on Open-Set Face Recognition Systems

D. Voth, L. Dane, J. Grebe, S. Peitz, P. Terhörst, in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–1039.

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Conference Paper | English
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Voth, Diana; Dane, Leonidas; Grebe, Jonas; Peitz, SebastianLibreCat ; Terhörst, Philipp
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2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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1027-1039
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Voth D, Dane L, Grebe J, Peitz S, Terhörst P. Effective Backdoor Learning on Open-Set Face Recognition Systems. In: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). ; 2025:1027-1039. doi:10.1109/WACV61041.2025.00109
Voth, D., Dane, L., Grebe, J., Peitz, S., & Terhörst, P. (2025). Effective Backdoor Learning on Open-Set Face Recognition Systems. 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1027–1039. https://doi.org/10.1109/WACV61041.2025.00109
@inproceedings{Voth_Dane_Grebe_Peitz_Terhörst_2025, title={Effective Backdoor Learning on Open-Set Face Recognition Systems}, DOI={10.1109/WACV61041.2025.00109}, booktitle={2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}, author={Voth, Diana and Dane, Leonidas and Grebe, Jonas and Peitz, Sebastian and Terhörst, Philipp}, year={2025}, pages={1027–1039} }
Voth, Diana, Leonidas Dane, Jonas Grebe, Sebastian Peitz, and Philipp Terhörst. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1027–39, 2025. https://doi.org/10.1109/WACV61041.2025.00109.
D. Voth, L. Dane, J. Grebe, S. Peitz, and P. Terhörst, “Effective Backdoor Learning on Open-Set Face Recognition Systems,” in 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–1039, doi: 10.1109/WACV61041.2025.00109.
Voth, Diana, et al. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–39, doi:10.1109/WACV61041.2025.00109.

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