Chew, O., Lu, P., Lin, J., & Lin, H. (2024). Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks.
Chicago Style (17th ed.) CitationChew, Oscar, Po-Yi Lu, Jayden Lin, and Hsuan-Tien Lin. Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks. 2024.
MLA (9th ed.) CitationChew, Oscar, et al. Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor Attacks. 2024.
Warning: These citations may not always be 100% accurate.