notesum.ai
Published at November 29Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces
cs.HC
cs.AI
cs.LG
Released Date: November 29, 2024
Authors: Lubin Meng, Xue Jiang, Tianwang Jia, Dongrui Wu

| Privacy | Number of | Privacy | Original | Perturbed | Average |
|---|---|---|---|---|---|
| Type | Classes | Classifier | EEG | EEG | Reduction |
| Identity | 54 | EEGNet | 25.55 | 4.52 | 20.03 |
| DeepCNN | 34.98 | 3.26 | 31.72 | ||
| ShallowCNN | 49.13 | 9.76 | 39.37 | ||
| Gender | 2 | EEGNet | 81.01 | 50.04 | 30.97 |
| DeepCNN | 78.31 | 51.03 | 27.28 | ||
| ShallowCNN | 82.31 | 51.24 | 31.07 | ||
| BCI- | 2 | EEGNet | 67.44 | 50.06 | 17.38 |
| Experience | DeepCNN | 70.17 | 51.09 | 19.08 | |
| ShallowCNN | 72.34 | 50.33 | 22.01 | ||
| Average | 62.25 | 35.70 | 26.55 | ||