Adult Income
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Adult Income 1996 (train and test) | Demographic Parity1 | 24 | |
| Classification | Adult Income (test) | Accuracy0.8593 | 21 | |
| GRN Attack | Adult Income | MSE0.231 | 16 | |
| Classification | Adult Income | LR Accuracy87 | 13 | |
| Model Reconstruction | Adult Income | Average Fidelity96 | 9 | |
| Gradient Reconstruction Attack | Adult Income Attack Strength = 25% (test) | Reconstruction MSE0.227 | 8 | |
| Synthetic Data Generation | Adult Income (test) | Discriminator Accuracy96.92 | 7 | |
| Robustness Certification | Adult Income (AI) (test) | Certification Rate (0.05% Bias)98.8 | 6 | |
| Counterfactual Explanation Generation | Adult Income Protocol A B=4 | Sparsity89.26 | 5 | |
| Data Synthesis | Adult Income | Repetition Rate0 | 5 | |
| Counterfactual Explanation | Adult Income Protocol B, B=64 | Validity100 | 4 |
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