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Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs. (arXiv:2206.12251v1 [cs.CR])
June 27, 2022, 1:20 a.m. | Chengyin Hu, Weiwen Shi
cs.CR updates on arXiv.org arxiv.org
Although deep neural networks (DNNs) are known to be fragile, no one has
studied the effects of zooming-in and zooming-out of images in the physical
world on DNNs performance. In this paper, we demonstrate a novel physical
adversarial attack technique called Adversarial Zoom Lens (AdvZL), which uses a
zoom lens to zoom in and out of pictures of the physical world, fooling DNNs
without changing the characteristics of the target object. The proposed method
is so far the only adversarial …
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