Scaling Resilient Adversarial Patch

Deep neural networks are easily affected by adversarial patches, causing prediction errors. However, existing adversarial patches are trained with specific model-dataset pairs and only effective for the images with the predetermined size in the dataset. The semantic information of the patch will be distorted when scaling the image, which is a common preprocessing process in practical applications....