A framework using shuffling and Laplace noise claims to balance privacy, utility, and fairness for vehicular traffic data, but the guarantees reduce to definitions and experiments use synthetic data.
”Intelligent traffic monitoring system s for vehicle classification: A survey.” IEEE Access 8 (2020): 73340-7335 8
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Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System
A framework using shuffling and Laplace noise claims to balance privacy, utility, and fairness for vehicular traffic data, but the guarantees reduce to definitions and experiments use synthetic data.