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Jun 3, 2024 · We propose a novel scheme named enhancing S parse mobile crowdsensing W ith manifold O ptimization and differential P rivacy (SWOP).
The results demonstrate that SWOP can greatly enhance the utility of data inference while ensuring workers' data privacy compared to baseline models. Index ...
Dec 9, 2024 · Sparse Mobile Crowdsensing (MCS) has become a compelling approach to acquire and infer urban-scale sensing data.
To reduce the data quality loss incurred by location obfuscation, we design a differential-and-distortion privacy-preserving framework with three components.
Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential Privacy. IEEE Trans. Inf. Forensics Secur. 19: 6070-6083 (2024). [j7]. view.
Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential Privacy. IEEE Transactions on Information Forensics and Security. 2024 ...
Enhancing Sparse Mobile CrowdSensing with Manifold Optimization and Differential Privacy. C Li, S Long, H Liu, Y Choi, H Sekiya, Z Li. IEEE Transactions on ...
Oct 22, 2024 · ... enhancing. data inference accuracy in sparse mobile crowdsensing ... tion differential privacy for sparse mobile crowdsensing,” in Proc.
To reduce the data quality loss incurred by location obfuscation, we design a differential-and-distortion privacy-preserving framework with three components.
Works (2). sort. Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential Privacy. IEEE Transactions on Information Forensics and ...