8cbe9ce23f42628c98f80fa0fac8b19a-Supplemental.pdf

After training for 200 epochs, we achieve the attack success rate (ASR) of99.97% and the natural accuracy on clean data (ACC)of93.73%. Blend attack [6]: We first generate a trigger pattern where each pixel value is sampled from auniform distribution in[0,255]asshowninFigure 6(c). Input-aware Attack (IAB) [30]: The dynamic trigger varies across samples as shown in Figure 6(d). We apply two types of target label selection. Clean-labelAttack(CLB)[42]: The trigger is a3 3checkerboard at the four corners of images as shown in Figure 7(b).