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Communication Dans Un Congrès Année : 2019

Copy Sensitive Graphical Code Estimation: Physical vs Numerical Resolution

Rohit Yadav
Iuliia Tkachenko
Alain Trémeau
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Thierry Fournel

Résumé

Recent papers point out the vulnerability of Copy Sensitive Graphical Codes (CSGC) while an opponent uses a neural network approach to estimate a pattern then prints it as an original one: such a fake can successfully pass the authentication test. Here, we show that a GAN-like network can be even more powerful. A SRGAN-based architecture including superresolution can tolerate a lower scanner resolution and decode efficiently. Besides, the use of such a decoding technique to perform the authentication test can improve the resistance of CSGC to estimation attacks.
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Dates et versions

hal-02550569 , version 1 (12-03-2021)

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Rohit Yadav, Iuliia Tkachenko, Alain Trémeau, Thierry Fournel. Copy Sensitive Graphical Code Estimation: Physical vs Numerical Resolution. 2019 IEEE International Workshop on Information Forensics and Security (WIFS), Dec 2019, Delft, Netherlands. pp.1-6, ⟨10.1109/WIFS47025.2019.9035104⟩. ⟨hal-02550569⟩
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