| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | GTSRB | Accuracy99.8 | 291 | |
| Backdoor Attack | GTSRB | Attack Success Rate100 | 142 | |
| Backdoor Defense | GTSRB (test) | ASR0 | 138 | |
| Image Classification | GTSRB | CA96.2 | 135 | |
| Backdoor Defense | GTSRB | CA99.49 | 118 | |
| Image Classification | GTSRB | Accuracy98.9 | 117 | |
| Image Classification | GTSRB | Top-1 Accuracy98.9 | 115 | |
| Image Classification | GTSRB | Accuracy99.3 | 97 | |
| Image Classification | GTSRB (test) | Accuracy (Clean)98.9 | 94 | |
| Image Classification | GTSRB | Natural Accuracy99.43 | 87 | |
| Dataset Splitting for Backdoor Defense | GTSRB | Precision97.12 | 48 | |
| Backdoor Detection | GTSRB | TPR100 | 48 | |
| Membership Inference Attack | GTSRB (test) | TPR@0.1%FPR43.52 | 42 | |
| Trojan Detection | GTSRB | True Positives (TP)10 | 37 | |
| Classification | GTSRB | Accuracy99.53 | 32 | |
| Explanation Hardening Evaluation | GTSRB 2.5% utility loss, ϵ = 9, δ = 10⁻⁵ (test) | MLS (TPR@0.1% FPR) Pre0.39 | 30 | |
| Image Classification | GTSRB 0.5% BER (test) | CA (NF)96.5 | 30 | |
| Image Classification | GTSRB 1% BER (test) | CA (NF)96.4 | 30 | |
| Membership Inference Attack | GTSRB | TPR @ 0.1% FPR37.06 | 28 | |
| Backdoor Defense | GTSRB 1% poison rate (test) | Clean Accuracy98 | 27 | |
| Image Classification | GTSRB | Accuracy99.11 | 26 | |
| Image Classification | GTSRB Dp: ImageNet (test) | BA94.98 | 22 | |
| Image Classification | GTSRB Dp: CIFAR10 (test) | BA95.54 | 22 | |
| Backdoor Defense | GTSRB BadNets (test) | Attack Success Rate100 | 22 | |
| Backdoor Defense | GTSRB Random-regular topology (test) | Accuracy (ACC)85.97 | 21 |