Robustness Verification on 7-class underwater plankton dataset (SilCam)
0Processing Time (s)Neural ODE-based Classifier
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Neural ODE-based ClassifierPixels Attacked=192 / 192, Noise (L∞)=5/255, Activation Function=Tanh2026.07 | 0 | — | |
| Neural ODE-based ClassifierPixels Attacked=192 / 192, Noise (L∞)=10/255, Activation Function=Tanh2026.07 | 0 | — | |
| Neural ODE-based ClassifierPixels Attacked=1 / 192, Noise (L∞)=0.5/255, Activation Function=Tanh2026.07 | 101.4 | — | |
| Neural ODE-based ClassifierPixels Attacked=10 / 192, Noise (L∞)=0.1/255, Activation Function=Tanh2026.07 | 105.2 | — | |
| Neural ODE-based ClassifierPixels Attacked=192 / 192, Noise (L∞)=0.05/255, Activation Function=Tanh2026.07 | 105.2 | — | |
| Neural ODE-based ClassifierPixels Attacked=192 / 192, Noise (L∞)=0.01/255, Activation Function=Tanh2026.07 | 113.1 | — | |
| Neural ODE-based ClassifierPixels Attacked=1 / 192, Noise (L∞)=0.1/255, Activation Function=Tanh2026.07 | 119.2 | — | |
| Neural ODE-based ClassifierPixels Attacked=192 / 192, Noise (L∞)=1/255, Activation Function=Tanh2026.07 | 7,200 | — |