Research Article
NN-QuPiD Attack: Neural Network-Based Privacy Quantification Model for Private Information Retrieval Protocols
Table 3
Performance of NN-QuPiD Attack with Multilayer Perceptron algorithm under different learning rates.
| | Learning rate | Topic Score | Query strings | | Precision | Recall | Precision | Recall |
| | L = 0.1 | 0.364 | 0.207 | 0.45 | 0.311 | | L = 0.2 | 0.369 | 0.211 | 0.41 | 0.328 | | L = 0.3 | 0.362 | 0.204 | 0.402 | 0.306 | | L = 0.4 | 0.377 | 0.206 | 0.399 | 0.292 | | L = 0.5 | 0.341 | 0.204 | 0.42 | 0.275 | | L = 0.6 | 0.359 | 0.198 | 0.37 | 0.284 | | L = 0.7 | 0.33 | 0.192 | 0.35 | 0.247 | | L = 0.8 | 0.34 | 0.195 | 0.38 | 0.245 | | L = 0.9 | 0.351 | 0.194 | 0.401 | 0.254 | | L = 0.10 | 0.358 | 0.195 | 0.388 | 0.234 |
|
|