ICASSP 2020accepted0 citations
Adversarial Detection of Counterfeited Printable Graphical Codes: Towards "Adversarial Games" In Physical World
Olga Taran, Slavi Bonev, Taras Holotyak, Slava Voloshynovskiy
Abstract
This paper addresses a problem of anti-counterfeiting of physical objects and aims at investigating a possibility of counterfeited printable graphical code detection from a machine learning perspectives. We investigate a fake generation via two different deep regeneration models and study the authentication capacity of several discriminators on the data set of real printed graphical codes where different printing and scanning qualities are taken into account. The obtained experimental results provide a new insight on scenarios, where the printable graphical codes can be accurately cloned and could not be distinguished.
BibTeX
@inproceedings{icassp2020_adversarialdetec,
title = {Adversarial Detection of Counterfeited Printable Graphical Codes: Towards "Adversarial Games" In Physical World},
author = {Olga Taran and Slavi Bonev and Taras Holotyak and Slava Voloshynovskiy},
booktitle = {ICASSP 2020},
year = {2020}
}