Scaling Resilient Adversarial Patch
2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS)(2021)
Abstract
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....
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Key words
Deep learning,Perturbation methods,Conferences,Semantics,Resists,Feature extraction,Robustness
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