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20212026
most citedMachine learning attack on copy detection patterns: are 1x1 patterns cloneable?

3 citations · 4 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CR2024

Assessing the Viability of Synthetic Physical Copy Detection Patterns on Different Imaging Systems

Roman Chaban, Brian Pulfer, Slava Voloshynovskiy

This paper explores the potential of synthetic physical Copy Detection Patterns (CDP) to improve the robustness of anti-counterfeiting systems. By leveraging synthetic physical CDP…

cs.CR2022

Printing variability of copy detection patterns

Roman Chaban, Olga Taran, Joakim Tutt +4

Copy detection pattern (CDP) is a novel solution for products' protection against counterfeiting, which gains its popularity in recent years. CDP attracts the anti-counterfeiting i…

cs.CR2022

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

Brian Pulfer, Roman Chaban, Yury Belousov +4

Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection mech…

cs.CR2022★ 1 cited

Mobile authentication of copy detection patterns

Olga Taran, Joakim Tutt, Taras Holotyak +3

In the recent years, the copy detection patterns (CDP) attracted a lot of attention as a link between the physical and digital worlds, which is of great interest for the internet o…

cs.CR2021★ 3 cited

Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?

Roman Chaban, Olga Taran, Joakim Tutt +3

Nowadays, the modern economy critically requires reliable yet cheap protection solutions against product counterfeiting for the mass market. Copy detection patterns (CDP) are consi…

cs.CR2021

Mobile authentication of copy detection patterns: how critical is to know fakes?

Olga Taran, Joakim Tutt, Taras Holotyak +3

Protection of physical objects against counterfeiting is an important task for the modern economies. In recent years, the high-quality counterfeits appear to be closer to originals…