Image Classification on CIFAR10 (Accuracy, ∆CA, ASR Tracking)
2.3∆CAPRISM
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| PRISMIR=1, Attack Type=BPP, Backbone=ResNet-502026.01 | 2.3 | — | 1.1 | |
| PRISMIR=1, Attack Type=CTRL, Backbone=ResNet-502026.01 | 0.6 | — | 0 | |
| PRISMIR=1, Attack Type=Blend, Backbone=ResNet-502026.01 | 0.5 | — | 0 | |
| RN50 BaselineIR=1, Backbone=ResNet-502026.01 | — | 92.9 | — | |
| VLM BaselineIR=1, Backbone=VLM2026.01 | — | 86.7 | — |