Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach

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.

Data and Resources

Cite this as

B. Pulfer, R. Chaban, Y. Belousov, J. Tutt, O. Taran, T. Holotyak, S. Voloshynovskiy (2024). Dataset: Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach. https://doi.org/10.57702/k5ra7rh6

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2206.11793
Author B. Pulfer
More Authors
R. Chaban
Y. Belousov
J. Tutt
O. Taran
T. Holotyak
S. Voloshynovskiy
Homepage https://github.com/sip-group/indigo1x1base