FameBias linearly combines a famous person's embedding with a trigger word's embedding to make text-to-image models generate that person, reaching 53% bias success without training.
How to backdoor diffusion models? In Proceedings of the 8 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4015–4024, 2023
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FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models
FameBias linearly combines a famous person's embedding with a trigger word's embedding to make text-to-image models generate that person, reaching 53% bias success without training.