| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| FaceForensics++ | SIG | BA98.94 | 35 | 4d ago | |
| CIFAR-10 (test) | INACTIVE | Backdoor Accuracy93.01 | 30 | 4d ago | |
| ImageNet-1K | Transfer-based Re-activation Attack (TA) | ASR (%)98.64 | 28 | 4d ago | |
| PEMS03 | Mc20.17 | 20 | 4d ago | ||
| Weather | TDBA-Inv | Mc26.91 | 20 | 4d ago | |
| Backdoor Domain Generalization Expressionism domain | MABA* | ASR-G100 | 15 | 4d ago | |
| Backdoor Domain Generalization Realism domain | DualKey | ASR (Generalization)100 | 15 | 4d ago | |
| Pets | Refool | CAD-8.2 | 13 | 4d ago | |
| Cars | Refool | CAD-5.12 | 13 | 4d ago | |
| Caltech-101 | Refool | CAD-420 | 13 | 4d ago | |
| CelebA-S | Refool | CAD12.36 | 13 | 4d ago | |
| ImageNet 10-S | Refool | CAD2 | 13 | 4d ago | |
| CIFAR-10-S | BadNets | Clean Attack Drop (CAD)-8.83 | 13 | 4d ago | |
| SVHN | Backdoor Accuracy76.02 | 12 | 4d ago | ||
| GTSRB | Backdoor Accuracy80.35 | 12 | 4d ago | ||
| Backdoor Attack Evaluation Summary | WaNet | Poison Rate10 | 10 | 4d ago | |
| STL10 | BadEncoder | Backdoor Accuracy (BA)75.73 | 6 | 4d ago | |
| CIFAR10 | BadEncoder | Backdoor Accuracy87.19 | 6 | 4d ago | |
| ISIC 2019 | Blended | LI120.43 | 6 | 4d ago | |
| ETTh1 | TDBA-Inv | Mc Score2.07 | 5 | 4d ago | |
| PEMS08 | Mc19.73 | 5 | 4d ago | ||
| PEMS04 | Mc Score23 | 5 | 4d ago | ||
| CT (test) | Runtime (s)0.48 | 4 | 4d ago | ||
| CN (test) | Runtime (s)28.3 | 4 | 4d ago | ||
| CF (test) | feature-based triggerless backdoor attack | Runtime (s)3.03 | 4 | 4d ago |
