Authentication Of Copy Detection Patterns Under Machine Learning Attacks: A Supervised Approach

Author:

Pulfer B.1,Chaban R.1,Belousov Y.1,Tutt J.1,Taran O.1,Holotyak T.1,Voloshynovskiy S.1

Affiliation:

1. University of Geneva,Department of Computer Science,Switzerland

Funder

National Science Foundation

Publisher

IEEE

Reference9 articles.

1. Indigo 1x1 base;chaban,2021

2. Estimation of Copy-sensitive Codes Using a Neural Approach

3. Deep residual learning for image recognition;he,2015

4. Clonability of Anti-counterfeiting Printable Graphical Codes: A Machine Learning Approach

5. Reliable classification in digital and physical worlds under active adversaries and prior ambiguity;taran;Ph D thesis,2021

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mixed-Bit Sampling Graphic: When Watermarking Meets Copy Detection Pattern;IEEE Signal Processing Letters;2024

2. Anomaly localization for copy detection patterns through print estimations;2022 IEEE International Workshop on Information Forensics and Security (WIFS);2022-12-12

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