Application of differential privacy to sensor data in water quality monitoring task
Although differential privacy (DP) is used to obfuscate local information and avoid data leakage, very little research exists on the neural network model performance with applied DP for datasets from online drinking water sensor monitoring. This study aims to examine the accuracy of four different n...
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Main Authors: | Audris Arzovs, Sergei Parshutin, Valts Urbanovics, Janis Rubulis, Sandis Dejus |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-05-01
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Series: | Ecological Informatics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125000287 |
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