Research Article
PLDP: Personalized Local Differential Privacy for Multidimensional Data Aggregation
| Datasets (settings) | k = 1 | k = 2 | k = 3 | k = 4 | k = 5 |
| Adult (S#1) | 0.29 | 0.28 | 0.47 | 0.54 | 0.54 | Adult (S#2) | 0.29 | 0.27 | 0.43 | 0.48 | 0.51 | Abalone (S#1) | 0.36 | 0.36 | 0.42 | 0.53 | 0.53 | Abalone (S#2) | 0.36 | 0.36 | 0.39 | 0.45 | 0.49 | Bank marketing (S#1) | 0.36 | 0.36 | 0.42 | 0.48 | 0.53 | Bank marketing (S#2) | 0.36 | 0.36 | 0.41 | 0.43 | 0.45 | Car evaluation (S#1) | 0.27 | 0.34 | 0.40 | 0.49 | 0.52 | Car evaluation (S#2) | 0.27 | 0.34 | 0.37 | 0.41 | 0.47 |
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