Image Classification on STL10 (Accuracy, ∆CA, ASR)
33.4∆CAPRISM
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| PRISMIR=1, Attack Type=Blend, Backbone=ResNet-502026.01 | 33.4 | — | 1.4 | |
| PRISMIR=1, Attack Type=BPP, Backbone=ResNet-502026.01 | 33 | — | 0 | |
| PRISMIR=1, Attack Type=CTRL, Backbone=ResNet-502026.01 | 26.2 | — | 0 | |
| RN50 BaselineIR=1, Backbone=ResNet-502026.01 | — | 64.8 | — | |
| VLM BaselineIR=1, Backbone=VLM2026.01 | — | 97.1 | — |