Sentiment Analysis on SST-2 (CA, ASR)
96.71AccuracyMerge
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MergeCategory=Editing, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 96.71 | 10.56 | |
| MergeCategory=Editing, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 96.38 | 86.58 | |
| W2SDefenseCategory=Unlearning, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 96.37 | 6.27 | |
| W2SDefenseCategory=Unlearning, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 96.32 | 7.04 | |
| LORACategory=Continuous Fine-tuning, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 96.1 | 92.85 | |
| LORACategory=Continuous Fine-tuning, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 96.05 | 99.78 | |
| MergeCategory=Editing, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 95.94 | 58.97 | |
| Fine-tuningCategory=Continuous Fine-tuning, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 95.93 | 17.38 | |
| QuantizationCategory=Continuous Fine-tuning, Victim Model=Vicuna, Attack Algorithm=BadNet, Precision=INT42024.10 | 95.83 | 19.47 | |
| W2SDefenseCategory=Unlearning, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 95.83 | 2.2 | |
| PSIMCategory=Detection, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 95.73 | 0.66 | |
| LORACategory=Continuous Fine-tuning, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 95.72 | 99.78 | |
| ICLDefenseCategory=Modification, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 95.39 | 3.85 | |
| PSIMCategory=Detection, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 95.35 | 15.18 | |
| Fine-tuningCategory=Continuous Fine-tuning, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 95.22 | 80.74 | |
| PruneCategory=Unlearning, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 95.17 | 13.97 | |
| PSIMCategory=Detection, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 95.13 | 7.59 | |
| PruneCategory=Unlearning, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 94.84 | 99.34 | |
| Fine-tuningCategory=Continuous Fine-tuning, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 94.83 | 7.37 | |
| PruneCategory=Unlearning, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 94.73 | 51.82 | |
| QuantizationCategory=Continuous Fine-tuning, Victim Model=Qwen2.5, Attack Algorithm=BadNet, Precision=INT42024.10 | 94.62 | 74.81 | |
| QuantizationCategory=Continuous Fine-tuning, Victim Model=LLaMA3, Attack Algorithm=BadNet, Precision=INT42024.10 | 94.51 | 6.6 | |
| Back Tr.Category=Modification, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 93.68 | 19.69 | |
| ONIONCategory=Detection, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 93.68 | 20.9 | |
| Back Tr.Category=Modification, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 93.36 | 20.13 | |
| ONIONCategory=Detection, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 92.64 | 21.89 | |
| Back Tr.Category=Modification, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 91.76 | 21.67 | |
| ONIONCategory=Detection, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 91.65 | 16.39 | |
| ICLDefenseCategory=Modification, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 91.54 | 16.5 | |
| ICLDefenseCategory=Modification, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 90.83 | 12.32 | |
| SCPDCategory=Modification, Victim Model=Vicuna, Attack Algorithm=BadNet2024.10 | 85.28 | 38.94 | |
| SCPDCategory=Modification, Victim Model=Qwen2.5, Attack Algorithm=BadNet2024.10 | 84.46 | 38.72 | |
| SCPDCategory=Modification, Victim Model=LLaMA3, Attack Algorithm=BadNet2024.10 | 83.75 | 39.05 |