Built on the top of adversarial images, I show in this paper the existence of smuggling examples: small perturbations (precomputed thank to the test set) of training data which leads to unfairly high results on test set. I present here results on CIFAR10 only with VGG only. However, these preliminary results show the capacity of smuggling examples.