"Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual ..."

Oscar Chew et al. (2024)

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DOI: 10.48550/ARXIV.2408.15721

access: open

type: Informal or Other Publication

metadata version: 2024-09-28

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  - journals/corr/abs-2408-15721
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  - https://dblp.org/rec/journals/corr/abs-2408-15721
Oscar Chew, Po-Yi Lu, Jayden Lin, Hsuan-Tien Lin:
Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks. CoRR abs/2408.15721 (2024)

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