Classification on bbc
99.72AccuracyMPAD-clique
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| MPAD-clique2019.08 | 99.72 | — | — | |
| MPAD-path2019.08 | 99.59 | — | — | |
| MPAD-sentence-att2019.08 | 99.32 | — | — | |
| WMD2019.08 | 98.71 | — | — | |
| doc2vec2019.08 | 98.64 | — | — | |
| CNN2019.08 | 98.37 | — | — | |
| MPAD2019.08 | 98.37 | — | — | |
| MAGDIFFPre-processing=None, Classifier=5-NN2023.11 | 98 | — | — | |
| HN-ATT2019.08 | 96.73 | — | — | |
| DP-SGD-RCProj Dim. (k)=32, Epsilon (ϵ)=9, Fine-tuning protocol=full fine-tuning, Model=Llama-3.2-1B2026.05 | 96.4 | — | — | |
| DP-SGD (FGC)Proj Dim. (k)=N/A, Epsilon (ϵ)=9, Fine-tuning protocol=full fine-tuning, Model=Llama-3.2-1B2026.05 | 96.33 | — | — | |
| DiSAN2019.08 | 96.05 | — | — | |
| DP-SGD-RCProj Dim. (k)=32, Epsilon (ϵ)=2, Fine-tuning protocol=full fine-tuning, Model=Llama-3.2-1B2026.05 | 95.6 | — | — | |
| LSTM-GRNN2019.08 | 95.52 | — | — | |
| InfOptTraining Data Percentage=30% Data2026.05 | 95.3 | — | — | |
| non-privateProj Dim. (k)=N/A, Epsilon (ϵ)=N/A, Fine-tuning protocol=full fine-tuning, Model=Llama-3.2-1B2026.05 | 95.2 | — | — | |
| MAGDIFFPre-processing=PCA, Classifier=5-NN2023.11 | 95 | — | — | |
| CDVM5kTraining Data Percentage=30% Data2026.05 | 95 | — | — | |
| InfOptTraining Data Percentage=25% Data2026.05 | 95 | — | — | |
| SPGK2019.08 | 94.97 | — | — | |
| CDVM5kTraining Data Percentage=20% Data2026.05 | 94.9 | — | — | |
| BanzhafTraining Data Percentage=30% Data2026.05 | 94.8 | — | — | |
| CDVM10kTraining Data Percentage=25% Data2026.05 | 94.7 | — | — | |
| CDVM10kTraining Data Percentage=20% Data2026.05 | 94.7 | — | — | |
| CDVM10kTraining Data Percentage=15% Data2026.05 | 94.7 | — | — | |
| CDVM5kTraining Data Percentage=25% Data2026.05 | 94.6 | — | — | |
| CDVM5kTraining Data Percentage=15% Data2026.05 | 94.6 | — | — | |
| CDVM10kTraining Data Percentage=30% Data2026.05 | 94.6 | — | — | |
| DataOOBTraining Data Percentage=25% Data2026.05 | 94.5 | — | — | |
| BanzhafTraining Data Percentage=25% Data2026.05 | 94.5 | — | — | |
| InfOptTraining Data Percentage=20% Data2026.05 | 94.4 | — | — | |
| DataOOBTraining Data Percentage=30% Data2026.05 | 94.4 | — | — | |
| BanzhafTraining Data Percentage=20% Data2026.05 | 94.4 | — | — | |
| DAN2019.08 | 94.3 | — | — | |
| CDVM10kTraining Data Percentage=10% Data2026.05 | 94.3 | — | — | |
| RandomTraining Data Percentage=30% Data2026.05 | 94.3 | — | — | |
| CDVM5kTraining Data Percentage=10% Data2026.05 | 94.1 | — | — | |
| DP-SGD (FGC)Proj Dim. (k)=N/A, Epsilon (ϵ)=2, Fine-tuning protocol=full fine-tuning, Model=Llama-3.2-1B2026.05 | 94.06 | — | — | |
| DataOOBTraining Data Percentage=20% Data2026.05 | 94 | — | — | |
| RandomTraining Data Percentage=25% Data2026.05 | 94 | — | — | |
| InfOptTraining Data Percentage=10% Data2026.05 | 93.8 | — | — | |
| DataOOBTraining Data Percentage=15% Data2026.05 | 93.8 | — | — | |
| BanzhafTraining Data Percentage=15% Data2026.05 | 93.6 | — | — | |
| CDVM10kTraining Data Percentage=5% Data2026.05 | 93.4 | — | — | |
| InfOptTraining Data Percentage=15% Data2026.05 | 93.4 | — | — | |
| RandomTraining Data Percentage=20% Data2026.05 | 93.4 | — | — | |
| CDVM5kTraining Data Percentage=5% Data2026.05 | 93.3 | — | — | |
| RandomTraining Data Percentage=15% Data2026.05 | 92.6 | — | — | |
| DataOOBTraining Data Percentage=10% Data2026.05 | 92.1 | — | — | |
| DataOOBTraining Data Percentage=5% Data2026.05 | 91.2 | — | — | |
| BanzhafTraining Data Percentage=10% Data2026.05 | 90.5 | — | — | |
| RandomTraining Data Percentage=10% Data2026.05 | 90.1 | — | — | |
| RandomTraining Data Percentage=5% Data2026.05 | 84.9 | — | — | |
| VSPre-processing=None, Classifier=5-NN2023.11 | 84 | — | — | |
| VSPre-processing=PCA, Classifier=5-NN2023.11 | 84 | — | — | |
| InfOptTraining Data Percentage=5% Data2026.05 | 83.6 | — | — | |
| BanzhafTraining Data Percentage=5% Data2026.05 | 80.1 | — | — | |
| AVGSIMPre-processing=None, Classifier=5-NN2023.11 | 74 | — | — | |
| AVGSIMPre-processing=PCA, Classifier=5-NN2023.11 | 73 | — | — | |
| GMSTDSPre-processing=None, Classifier=5-NN2023.11 | 66 | — | — | |
| GMSTDSPre-processing=PCA, Classifier=5-NN2023.11 | 66 | — | — | |
| DP-SGD (FGC)Base Model=Llama3 1B, Fine-tuning protocol=LoRA, Proj Dim. (k)=N/A2026.05 | — | 96.3 | 93.1 | |
| DP-SGD-RCBase Model=Llama3 1B, Fine-tuning protocol=LoRA, Proj Dim. (k)=322026.05 | — | 95.9 | 93.2 | |
| non-privateBase Model=Llama3 1B, Fine-tuning protocol=LoRA, Proj Dim. (k)=N/A2026.05 | — | 96.5 | — |