Protecting research on data scarcity

Zhenjian Zhang; Weijia Sun; Tianjiao Ding; Wei Du; Chunli Yao

doi:10.1117/12.3031006

19 July 2024 Protecting research on data scarcity

Zhenjian Zhang, Weijia Sun, Tianjiao Ding, Wei Du, Chunli Yao

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131815X (2024) https://doi.org/10.1117/12.3031006
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

This article conducts research on the protection of data scarcity in various forms and proposes a practical approach. This method involves the creation of a novel data model, which not only incorporates the original dataset but also encapsulates security safeguards, ensuring both data scarcity and data security. To enhance data accessibility and flexibility, we introduce data interfaces, allowing users to conveniently manipulate and process data. Furthermore, since data comes in multiple formats, we have designed the approach to be applicable to a wide range of data types. To demonstrate this, we have employed text, image, and audio data, treating them uniformly for ease of future use. This further establishes the applicability of the method to most data types.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhenjian Zhang, Weijia Sun, Tianjiao Ding, Wei Du, and Chunli Yao "Protecting research on data scarcity", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131815X (19 July 2024); https://doi.org/10.1117/12.3031006

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