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Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach. (arXiv:2206.11793v1 [cs.CR])
cs.LG updates on arXiv.org arxiv.org
Copy detection patterns (CDP) are an attractive technology that allows
manufacturers to defend their products against counterfeiting. The main
assumption behind the protection mechanism of CDP is that these codes printed
with the smallest symbol size (1x1) on an industrial printer cannot be copied
or cloned with sufficient accuracy due to data processing inequality. However,
previous works have shown that Machine Learning (ML) based attacks can produce
high-quality fakes, resulting in decreased accuracy of authentication based on
traditional feature-based authentication …
arxiv attacks authentication detection learning machine machine learning patterns