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A Black-Box Attack on Optical Character Recognition Systems. (arXiv:2208.14302v1 [cs.CV])
Aug. 31, 2022, 1:20 a.m. | Samet Bayram, Kenneth Barner
cs.CR updates on arXiv.org arxiv.org
Adversarial machine learning is an emerging area showing the vulnerability of
deep learning models. Exploring attack methods to challenge state of the art
artificial intelligence (A.I.) models is an area of critical concern. The
reliability and robustness of such A.I. models are one of the major concerns
with an increasing number of effective adversarial attack methods.
Classification tasks are a major vulnerable area for adversarial attacks. The
majority of attack strategies are developed for colored or gray-scaled images.
Consequently, adversarial …
More from arxiv.org / cs.CR updates on arXiv.org
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