# Fairness-aware Synthetic Data Generation on Adult dataset

Source: [Fairness-aware Synthetic Data Generation on Adult dataset](<https://www.sota2.com/research/sota/fairness-aware-synthetic-data-generation-on-adult-dataset>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:58:19.534Z

Evaluation of synthetic data generation models applied to the Adult dataset, focusing on fairness criteria, measured using Precision, Recall, AUROC, FTU, and DP.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Fairness-aware Synthetic Data Generation |
| Dataset (including any stated split) | Adult dataset |
| Metric | Precision |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Precision](<https://www.sota2.com/research/sota/fairness-aware-synthetic-data-generation-on-adult-dataset.md?metric=Precision>): Higher is better; unit: SCALAR.

- [Recall](<https://www.sota2.com/research/sota/fairness-aware-synthetic-data-generation-on-adult-dataset.md?metric=Recall>): Higher is better; unit: SCALAR.

- [AUROC](<https://www.sota2.com/research/sota/fairness-aware-synthetic-data-generation-on-adult-dataset.md?metric=AUROC>): Higher is better; unit: SCALAR.

- [FTU](<https://www.sota2.com/research/sota/fairness-aware-synthetic-data-generation-on-adult-dataset.md?metric=FTU>): Higher is better; unit: SCALAR.

- [DP](<https://www.sota2.com/research/sota/fairness-aware-synthetic-data-generation-on-adult-dataset.md?metric=DP>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Precision | Result date | Report paper |
| --- | --- | --- | --- |
| Original data D | 0.92 | Not recorded | 68fa6b2b1e209131cea2c851 |
| DECAF-DP | 0.781 | Not recorded | 68fa6b2b1e209131cea2c851 |
| DECAF-ND | 0.78 | Not recorded | 68fa6b2b1e209131cea2c851 |
| DECAF-FTU | 0.763 | Not recorded | 68fa6b2b1e209131cea2c851 |
| DECAF-CF | 0.743 | Not recorded | 68fa6b2b1e209131cea2c851 |
| WGAN-GP | 0.683 | Not recorded | 68fa6b2b1e209131cea2c851 |
| FairGAN | 0.681 | Not recorded | 68fa6b2b1e209131cea2c851 |
| GAN | 0.607 | Not recorded | 68fa6b2b1e209131cea2c851 |

### Original data D

Precision: 0.92. Result ID: 698e6536ffc3901de09d3b41.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

Recorded evaluation configuration: {"source":"original biased data"}. This record does not assert independent reproduction.

### DECAF-DP

Precision: 0.781. Result ID: 698e6536ffc3901de09d3b48.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Implementation](<https://github.com/vanderschaarlab/DECAF>)

Recorded evaluation configuration: {"fairness\_constraint":"Demographic Parity"}. This record does not assert independent reproduction.

### DECAF-ND

Precision: 0.78. Result ID: 698e6536ffc3901de09d3b45.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Implementation](<https://github.com/vanderschaarlab/DECAF>)

Recorded evaluation configuration: {"fairness\_constraint":"No Debiasing"}. This record does not assert independent reproduction.

### DECAF-FTU

Precision: 0.763. Result ID: 698e6536ffc3901de09d3b46.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Implementation](<https://github.com/vanderschaarlab/DECAF>)

Recorded evaluation configuration: {"fairness\_constraint":"Fairness through Unawareness"}. This record does not assert independent reproduction.

### DECAF-CF

Precision: 0.743. Result ID: 698e6536ffc3901de09d3b47.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Implementation](<https://github.com/vanderschaarlab/DECAF>)

Recorded evaluation configuration: {"fairness\_constraint":"Counterfactual Fairness"}. This record does not assert independent reproduction.

### WGAN-GP

Precision: 0.683. Result ID: 698e6536ffc3901de09d3b43.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63f01e209131cea01a61.md>)

Recorded evaluation configuration: {"type":"Wasserstein GAN with Gradient Penalty"}. This record does not assert independent reproduction.

### FairGAN

Precision: 0.681. Result ID: 698e6536ffc3901de09d3b44.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64691e209131cea04881.md>)

Recorded evaluation configuration: {"type":"Fairness-aware GAN"}. This record does not assert independent reproduction.

### GAN

Precision: 0.607. Result ID: 698e6536ffc3901de09d3b42.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2b1e209131cea2c851.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf51e209131cea313f0.md>)

Recorded evaluation configuration: {"type":"Standard Generative Adversarial Network"}. This record does not assert independent reproduction.

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