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10 November 2022 Local privacy protection system framework based on encryption algorithm library
Gu Yingcheng, Yongqiu Chen, Mingsheng Xu
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Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123314J (2022) https://doi.org/10.1117/12.2652319
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China
Abstract
How to effectively protect the privacy of data, establish a data center platform and solve the problem of vulnerable deep learning has become an urgent problem to be solved. In particular, desensitization of data is an effective way to avoid data privacy disclosure. This study puts forward a new solution. Firstly, this article identifies the sensitive data, then extracts the sensitive data from the original data, constructs the desensitization technology library of the sensitive data, then desensitizes the sensitive data, and finally transfers the data to the model for training, so as to deliver the deep learning model for training without changing the original distribution of the data, it avoids the problem of privacy disclosure caused by model attack.
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Gu Yingcheng, Yongqiu Chen, and Mingsheng Xu "Local privacy protection system framework based on encryption algorithm library", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123314J (10 November 2022); https://doi.org/10.1117/12.2652319
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KEYWORDS
Data modeling
Computer security
Security technologies
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