Anomaly localization for copy detection patterns through print estimations
Author:
Affiliation:
1. University of Geneva,Department of Computer Science,Switzerland
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9975350/9975299/09975416.pdf?arnumber=9975416
Reference8 articles.
1. Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?;chaban;IEEE International Workshop on Information Forensics and Security (WIFS),2021
2. Adversarial Detection of Counterfeited Printable Graphical Codes: Towards "Adversarial Games" In Physical World
3. Authentication Of Copy Detection Patterns Under Machine Learning Attacks: A Supervised Approach
4. Can Copy Detection Patterns be copied? Evaluating the performance of attacks and highlighting the role of the detector
5. U-net: Convolutional networks for biomedical image segmentation;ronneberger,2015
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1. Authentication of Copy Detection Patterns: A Pattern Reliability Based Approach;IEEE Transactions on Information Forensics and Security;2024
2. A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns;IEEE Transactions on Information Forensics and Security;2024
3. Mixed-Bit Sampling Graphic: When Watermarking Meets Copy Detection Pattern;IEEE Signal Processing Letters;2024
4. CDP-Sim: Similarity Metric Learning to Identify the Fake Copy Detection Patterns;2023 IEEE International Workshop on Information Forensics and Security (WIFS);2023-12-04
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