Biometric Privacy Protection: Guidelines and Technologies

Author:

Labati Ruggero Donida,Piuri Vincenzo,Scotti Fabio

Publisher

Springer Berlin Heidelberg

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Model-Agnostic Utility-Preserving Biometric Information Anonymization;International Journal of Information Security;2024-05-23

2. Biometric in Cyber Security: A Mini Review;2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2023-02-20

3. Next Generation Mobile Sensors: Review Regarding the Significance of Deep Learning and Privacy Techniques for Data-Driven Soft Sensors;Advanced Information Networking and Applications;2023

4. An Extended Review Concerning the Relevance of Deep Learning and Privacy Techniques for Data-Driven Soft Sensors;Sensors;2022-12-27

5. Utility-Preserving Biometric Information Anonymization;Computer Security – ESORICS 2022;2022

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