Adversarial Attack on Kaggle
0.96Average Cumulative RewardFRAUD-RLA
Evaluation Results
| Method | Links | |
|---|---|---|
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=50%, Time=4000, Target Model=Neural Network2025.02 | 0.96 | |
| FRAUD-RLAFeatures Fixed=50%, Features Unknown=25%, Time=4000, Target Model=Neural Network2025.02 | 0.96 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=50%, Time=4000, Target Model=Neural Network2025.02 | 0.95 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=25%, Time=4000, Target Model=Neural Network2025.02 | 0.95 | |
| FRAUD-RLAFeatures Fixed=50%, Features Unknown=0%, Time=4000, Target Model=Neural Network2025.02 | 0.95 | |
| Best BaselineFeatures Fixed=0%, Features Unknown=0%, Target Model=Neural Network2025.02 | 0.94 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=25%, Time=4000, Target Model=Neural Network2025.02 | 0.94 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=0%, Time=4000, Target Model=Neural Network2025.02 | 0.94 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=50%, Time=1000, Target Model=Neural Network2025.02 | 0.94 | |
| FRAUD-RLAFeatures Fixed=50%, Features Unknown=25%, Time=1000, Target Model=Neural Network2025.02 | 0.94 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=0%, Time=4000, Target Model=Neural Network2025.02 | 0.93 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=25%, Time=1000, Target Model=Neural Network2025.02 | 0.93 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=0%, Time=1000, Target Model=Neural Network2025.02 | 0.92 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=50%, Time=1000, Target Model=Neural Network2025.02 | 0.92 | |
| FRAUD-RLAFeatures Fixed=50%, Features Unknown=0%, Time=1000, Target Model=Neural Network2025.02 | 0.92 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=25%, Time=1000, Target Model=Neural Network2025.02 | 0.91 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=0%, Time=1000, Target Model=Neural Network2025.02 | 0.9 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=50%, Time=300, Target Model=Neural Network2025.02 | 0.88 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=25%, Time=300, Target Model=Neural Network2025.02 | 0.88 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=50%, Time=300, Target Model=Neural Network2025.02 | 0.88 | |
| FRAUD-RLAFeatures Fixed=50%, Features Unknown=25%, Time=300, Target Model=Neural Network2025.02 | 0.88 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=0%, Time=300, Target Model=Neural Network2025.02 | 0.87 | |
| FRAUD-RLAFeatures Fixed=0%, Features Unknown=25%, Time=300, Target Model=Neural Network2025.02 | 0.87 | |
| FRAUD-RLAFeatures Fixed=50%, Features Unknown=0%, Time=300, Target Model=Neural Network2025.02 | 0.87 | |
| FRAUD-RLAFeatures Fixed=25%, Features Unknown=0%, Time=300, Target Model=Neural Network2025.02 | 0.86 | |
| Best BaselineFeatures Fixed=25%, Features Unknown=0%, Target Model=Neural Network2025.02 | 0.6 | |
| Best BaselineFeatures Fixed=0%, Features Unknown=25%, Target Model=Neural Network2025.02 | 0.58 | |
| Best BaselineFeatures Fixed=0%, Features Unknown=50%, Target Model=Neural Network2025.02 | 0.41 | |
| Best BaselineFeatures Fixed=50%, Features Unknown=0%, Target Model=Neural Network2025.02 | 0.41 | |
| Best BaselineFeatures Fixed=25%, Features Unknown=25%, Target Model=Neural Network2025.02 | 0.39 | |
| Best BaselineFeatures Fixed=50%, Features Unknown=25%, Target Model=Neural Network2025.02 | 0.28 | |
| Best BaselineFeatures Fixed=25%, Features Unknown=50%, Target Model=Neural Network2025.02 | 0.26 |