• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Data Correction For Enhancing Classification Accuracy By Unknown Deep Neural Network Classifiers

Vol. 15, No. 9, September 30, 2021
10.3837/tiis.2021.09.009, Download Paper (Free):

Abstract

Deep neural networks provide excellent performance in pattern recognition, audio classification, and image recognition. It is important that they accurately recognize input data, particularly when they are used in autonomous vehicles or for medical services. In this study, we propose a data correction method for increasing the accuracy of an unknown classifier by modifying the input data without changing the classifier. This method modifies the input data slightly so that the unknown classifier will correctly recognize the input data. It is an ensemble method that has the characteristic of transferability to an unknown classifier by generating corrected data that are correctly recognized by several classifiers that are known in advance. We tested our method using MNIST and CIFAR-10 as experimental data. The experimental results exhibit that the accuracy of the unknown classifier is a 100% correct recognition rate owing to the data correction generated by the proposed method, which minimizes data distortion to maintain the data’s recognizability by humans.


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Cite this article

[IEEE Style]
H. Kwon, H. Yoon and D. Choi, "Data Correction For Enhancing Classification Accuracy By Unknown Deep Neural Network Classifiers," KSII Transactions on Internet and Information Systems, vol. 15, no. 9, pp. 3243-3257, 2021. DOI: 10.3837/tiis.2021.09.009.

[ACM Style]
Hyun Kwon, Hyunsoo Yoon, and Daeseon Choi. 2021. Data Correction For Enhancing Classification Accuracy By Unknown Deep Neural Network Classifiers. KSII Transactions on Internet and Information Systems, 15, 9, (2021), 3243-3257. DOI: 10.3837/tiis.2021.09.009.

[BibTeX Style]
@article{tiis:24932, title="Data Correction For Enhancing Classification Accuracy By Unknown Deep Neural Network Classifiers", author="Hyun Kwon and Hyunsoo Yoon and Daeseon Choi and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2021.09.009}, volume={15}, number={9}, year="2021", month={September}, pages={3243-3257}}