# Image Classification on STL10 (Clean, AutoAttack)

Source: [Image Classification on STL10 (Clean, AutoAttack)](<https://www.sota2.com/research/sota/image-classification-on-stl10-clean-autoattack>)

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

Data updated: 2026-02-27T11:46:09.501Z

Evaluation of Image Classification performance on the STL-10 dataset, reporting Clean accuracy and robustness against AutoAttack adversarial attacks.

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) | STL10 |
| Metric | Clean 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

- [Clean Accuracy](<https://www.sota2.com/research/sota/image-classification-on-stl10-clean-autoattack.md?metric=Clean%20Accuracy>): Higher is better; unit: PERCENT.

- [AutoAttack Accuracy](<https://www.sota2.com/research/sota/image-classification-on-stl10-clean-autoattack.md?metric=AutoAttack%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Clean Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CLIP | 97.03 | Not recorded | 6940e7a8456146936284f897 |
| UCAT | 91.88 | Not recorded | 6940e7a8456146936284f897 |
| DKL | 82.54 | Not recorded | 6940e7a8456146936284f897 |
| ACAT | 82.41 | Not recorded | 6940e7a8456146936284f897 |
| TRADES | 80.81 | Not recorded | 6940e7a8456146936284f897 |

### CLIP

Clean Accuracy: 97.03. Result ID: 69a183f135dfcabb00e78857.

[Reporting paper](<https://www.sota2.com/research/paper/6940e7a8456146936284f897.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"Fine-tuning dataset":"TinyImageNet","Adversarial training":"2-step PGD","Epsilon":"1/255","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

### UCAT

Clean Accuracy: 91.88. Result ID: 69a183f135dfcabb00e7885b.

[Reporting paper](<https://www.sota2.com/research/paper/6940e7a8456146936284f897.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6940e7a8456146936284f897.md>)

Recorded evaluation configuration: {"Fine-tuning dataset":"TinyImageNet","Adversarial training":"2-step PGD","Epsilon":"1/255","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

### DKL

Clean Accuracy: 82.54. Result ID: 69a183f135dfcabb00e7885a.

[Reporting paper](<https://www.sota2.com/research/paper/6940e7a8456146936284f897.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa756d1e209131cea67d56.md>)

[Implementation](<https://github.com/jiequancui/DKL>)

Recorded evaluation configuration: {"Fine-tuning dataset":"TinyImageNet","Adversarial training":"2-step PGD","Epsilon":"1/255","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

### ACAT

Clean Accuracy: 82.41. Result ID: 69a183f135dfcabb00e78859.

[Reporting paper](<https://www.sota2.com/research/paper/6940e7a8456146936284f897.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dc61e209131cea3c0ff.md>)

[Implementation](<https://github.com/val-iisc/DAJAT>)

Recorded evaluation configuration: {"Fine-tuning dataset":"TinyImageNet","Adversarial training":"2-step PGD","Epsilon":"1/255","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

### TRADES

Clean Accuracy: 80.81. Result ID: 69a183f135dfcabb00e78858.

[Reporting paper](<https://www.sota2.com/research/paper/6940e7a8456146936284f897.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65f71e209131cea0d897.md>)

Recorded evaluation configuration: {"Fine-tuning dataset":"TinyImageNet","Adversarial training":"2-step PGD","Epsilon":"1/255","Evaluation protocol":"Zero-shot"}. This record does not assert independent reproduction.

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