| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| CIFAR10 (test) | Fine Pruning | ASR0 | 322 | 3d ago | |
| GTSRB (test) | ABL | ASR0 | 127 | 3d ago | |
| Tiny ImageNet | Accuracy60.63 | 102 | 3d ago | ||
| AgNews | MuScleLoRA | Attack Success Rate2.35 | 81 | 3d ago | |
| CIFAR-10 | Attack Success Rate6,010 | 78 | 3d ago | ||
| Average of four datasets (test) | Accuracy93.24 | 70 | 3d ago | ||
| CIFAR10 (train) | ANP | ASR0.31 | 63 | 3d ago | |
| CR | LoRA | Clean Accuracy (CA)94.32 | 54 | 3d ago | |
| Tiny-ImageNet (test) | Accuracy100 | 47 | 3d ago | ||
| SST-2 | CACC91.71 | 41 | 3d ago | ||
| CIFAR-10 (test) | Clean Accuracy93.22 | 40 | 3d ago | ||
| ImageNet-12 (test) | ASR100 | 40 | 3d ago | ||
| CIFAR-10 Blended v1 (test) | Clean Accuracy94.6 | 34 | 3d ago | ||
| AndroZoo 33% (test) | FST | C-Acc98.68 | 28 | 3d ago | |
| EMBER default (test) | FST | Clean Accuracy99.9 | 28 | 3d ago | |
| GTSRB 1% poison rate (test) | Clean Accuracy98 | 27 | 3d ago | ||
| GTSRB BadNets (test) | Attack Success Rate100 | 22 | 3d ago | ||
| GTSRB | ShrinkPad | PA91.73 | 21 | 3d ago | |
| CIFAR-10 1.0 (test) | BadNet C-Acc94.04 | 20 | 3d ago | ||
| CIFAR-10 BadNet v1 (test) | Clean Accuracy94.6 | 20 | 3d ago | ||
| TREC | MDP | AUC0.99 | 20 | 3d ago | |
| SUBJ | MDP | AUC0.99 | 20 | 3d ago | |
| CR | MDP | AUC1 | 20 | 3d ago | |
| MR | MDP | AUC0.99 | 20 | 3d ago | |
| ImageNette | Cert-SSBD | AER0.67 | 18 | 3d ago |
