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IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images

Autor
Janusz, Andrzej
Ślęzak, Dominik
Bukala, Andrzej
Zalewska, Andzelika
Przebinda, Lukasz
Grabek, Jakub
Cyganek, Boguslaw
Szczuka, Marcin
Data publikacji
2022
Abstrakt (EN)

We summarize the results of IEEE BigData 2022 Cup: Privacy-preserving Matching of Encrypted Images - a data mining challenge organized at the KnowledgePit platform in association with the IEEE BigData 2022 conference. We describe the challenge in the hearth of the competition task, as well as the data acquisition and preparation steps. We also provide a brief overview of the top-performing solutions submitted by participants. Finally, we present results of the post-competition data analysis, in which we consider the similarity of solutions submitted by various teams in terms of their errors on the test data. We conclude this analysis by discussion of the significance and impact of the competition results on the underlying problem of constructing effective and efficient anonymization algorithms for monitoring in the DOOH advertising industry.

Dyscyplina PBN
informatyka
Strony od-do
6471-6480
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