# Image Classification on Unlearnable CIFAR-10 PUE (test)

Source: [Image Classification on Unlearnable CIFAR-10 PUE (test)](<https://www.sota2.com/research/sota/image-classification-on-unlearnable-cifar-10-pue-test>)

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

Data updated: 2026-05-25T08:48:57.613Z

Evaluation of Image Classification model performance on the test set of the Unlearnable CIFAR-10 PUE dataset, reporting accuracy.

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 | Image Classification |
| Dataset (including any stated split) | Unlearnable CIFAR-10 PUE (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-unlearnable-cifar-10-pue-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| AVATAR | 91.83 | Not recorded | 68fa73721e209131cea5c8c4 |
| nonlinear transformation framework | 85.4 | Not recorded | 68fa73721e209131cea5c8c4 |
| MixUp | 11.72 | Not recorded | 68fa73721e209131cea5c8c4 |
| CutOut | 10.15 | Not recorded | 68fa73721e209131cea5c8c4 |
| CutMix | 8.83 | Not recorded | 68fa73721e209131cea5c8c4 |

### AVATAR

Accuracy: 91.83. Result ID: 6a140cdffbc373592c0b584a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71d41e209131cea53381.md>)

Recorded evaluation configuration: {"diffusion timestep":"100"}. This record does not assert independent reproduction.

### nonlinear transformation framework

Accuracy: 85.4. Result ID: 6a140cdffbc373592c0b5849.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### MixUp

Accuracy: 11.72. Result ID: 6a140cdffbc373592c0b584c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa644e1e209131cea03e44.md>)

[Implementation](<https://github.com/facebookresearch/mixup-cifar10>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CutOut

Accuracy: 10.15. Result ID: 6a140cdffbc373592c0b584d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63d61e209131cea01202.md>)

[Implementation](<https://github.com/uoguelph-mlrg/Cutout>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CutMix

Accuracy: 8.83. Result ID: 6a140cdffbc373592c0b584b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73721e209131cea5c8c4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa663d1e209131cea0f1ce.md>)

[Implementation](<https://github.com/clovaai/CutMix-PyTorch>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.