Image Classification on Unspecified Dataset
93.75Class AccuracyNone
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NoneDefense=None, Attack=Square Attack2023.05 | 93.75 | 0 | |
| CeTaD-BERT-largeBackbone=BERT-large, Attack=Square Attack, Tuning=one-shot adversarial fine-tuning2023.05 | 84.57 | 83.59 | |
| CeTaD-VITBackbone=ViT, Attack=Square Attack, Tuning=one-shot adversarial fine-tuning2023.05 | 83.2 | 74.02 | |
| CeTaD-BERTBackbone=BERT, Attack=Square Attack, Tuning=one-shot adversarial fine-tuning2023.05 | 82.42 | 79.3 | |
| CeTaD-VIT-largeBackbone=ViT-large, Attack=Square Attack, Tuning=one-shot adversarial fine-tuning2023.05 | 81.45 | 75.39 |