Appendix A Code Base

Neural Information Processing Systems 

We also define the clean reversed conditional transition as Eq. Thus, a( t) and b (t) can be derived as Eq. The KL-divergence loss of the reversed transition can be simplified as Eq. Thus, we can finally write down the clean loss function Eq. (9) with reparametrization This section will further extend the derivation of the clean diffusion models in Appendix B.1 and Recall the definition of the backdoor reversed conditional transition in Eq. (10). We mark the coefficients of the r as red.