bike
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Marginal Likelihood Estimation | BIKE (mean over 10 splits) | Test Log-Likelihood2.15 | 12 | |
| Edge flow prediction | Bike (test) | RMSE0.029 | 10 | |
| Selective Regression | bike (test) | Conditional Large-Loss Rate19 | 6 | |
| Physical Consistency Analysis | Bike (test) | Final Divergence Residual2.37 | 5 | |
| Conformal Prediction | Bike | Empirical Coverage90 | 4 | |
| Regression | bike (test) | Max Conditional Coverage Deviation (%)4.925 | 4 | |
| Regression | BIKE | RMSE0.04 | 3 | |
| IND-CPA Distinguishability | BIKE (val) | Accuracy50.05 | 2 | |
| Ciphertext Classification | BIKE combined with Plaintext | Accuracy50.06 | 2 | |
| Ciphertext Classification | BIKE combined with Plain RSA | Accuracy50.26 | 2 | |
| Ciphertext Classification | BIKE combined with RSA OAEP | Accuracy50.2 | 2 | |
| Regression | Bike Hour | R^20.96 | 2 | |
| Regression | Bike Day | R^20.98 | 2 |
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