Adult Income

Benchmarks

Task Name	Dataset Name	SOTA Result
Classification	Adult Income 1996 (train and test)	Demographic Parity1	24
Classification	Adult Income (test)	Accuracy0.8593	21
GRN Attack	Adult Income	MSE0.231	16
Counterfactual Recourse	Adult Income	Cost0.03	15
Classification	Adult Income	LR Accuracy87	13
Fair Decision Making	Adult Income Gender 11 (test)	Total Interventions1.6	9
Fair Decision Making	Adult Income Race 11 (test)	Total Interventions5.8	9
Group Fairness	Adult Income Gender	Demographic Parity0.004	9
Group Fairness	Adult Income Race	Demographic Parity0.01	9
Classification	Adult Income 2 classes	Accuracy85.25	9
Model Reconstruction	Adult Income	Average Fidelity96	9
Gradient Reconstruction Attack	Adult Income Attack Strength = 25% (test)	Reconstruction MSE0.227	8
Classification	Adult Income	AUC0.907	7
Fair Classification	Adult Income (5-fold)	Pareto Non-Dominance Count5	7
Tabular Data Synthesis	Adult Income	Violation Rate0	7
Classification	Adult Income	EO Gap0.061	7
Machine Learning	Adult Income	F1 Score82.07	7
Synthetic Data Generation	Adult Income (test)	Discriminator Accuracy96.92	7
Tabular Classification	Adult Income	TRTR AUROC0.9063	6
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
Classification	Adult Income	AUC90	4
Counterfactual Explanation	Adult Income Protocol B, B=64	Validity100	4
Outsourced Data Anonymization Verification	Adult Income Approximate adversary	Metric-	0

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