A research paper proposes a novel backdoor defense framework for text-to-image (T2I) diffusion models, called Normal Diffusion Dynamics Learning (NDDL), which detects backdoors by learning normal transition dynamics of diffusion trajectories and exploiting deviations in predicted transitions.