Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning

Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su 0006. Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. In Abdulmotaleb El-Saddik, Tao Mei, Rita Cucchiara, Marco Bertini 0001, Diana Patricia Tobon Vallejo, Pradeep K. Atrey, M. Shamim Hossain, editors, Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023. pages 1577-1587, ACM, 2023. [doi]

@inproceedings{ZhaiDSPF023,
  title = {Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning},
  author = {Shengfang Zhai and Yinpeng Dong and Qingni Shen and Shi Pu and Yuejian Fang and Hang Su 0006},
  year = {2023},
  doi = {10.1145/3581783.3612108},
  url = {https://doi.org/10.1145/3581783.3612108},
  researchr = {https://researchr.org/publication/ZhaiDSPF023},
  cites = {0},
  citedby = {0},
  pages = {1577-1587},
  booktitle = {Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023},
  editor = {Abdulmotaleb El-Saddik and Tao Mei and Rita Cucchiara and Marco Bertini 0001 and Diana Patricia Tobon Vallejo and Pradeep K. Atrey and M. Shamim Hossain},
  publisher = {ACM},
}