EEG Classification on Motor Imagery EEG Dataset
88.21Baseline AccuracyProposed CNN
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Proposed CNNAttack=FGSM2026.05 | 88.21 | 73.02 | 100 | 99.99 | 99.94 | 99.96 | 99.97 | |
| DeepConvNetAttack=FGSM2026.05 | 47.66 | 6.17 | 99.44 | 95.18 | 90.51 | 93.39 | 95.04 | |
| EEGNetAttack=FGSM2026.05 | 42.35 | 5.27 | 50.76 | 34.43 | 31.38 | 36.66 | 38.85 | |
| SleepEEGNetAttack=FGSM2026.05 | 24.91 | 1.36 | 44.66 | 25.95 | 24.02 | 32.09 | 31.54 |