# Image Classification on CIFAR-10 long-tailed IR=10 (test)

Source: [Image Classification on CIFAR-10 long-tailed IR=10 (test)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-long-tailed-ir-10-test>)

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

Data updated: 2026-02-26T05:34:12.932Z

Evaluation of Image Classification performance on the test split of the CIFAR-10 dataset configured with an Imbalance Ratio (IR) of 10 for long-tail evaluation, reporting robustness against various adversarial attacks (Clean, PGD, MIM, CW, AA).

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) | CIFAR-10 long-tailed IR=10 (test) |
| Metric | Accuracy (Clean) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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 (Clean)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-long-tailed-ir-10-test.md?metric=Accuracy%20(Clean)>): Higher is better; unit: PERCENT.

- [Accuracy (PGD)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-long-tailed-ir-10-test.md?metric=Accuracy%20(PGD)>): Higher is better; unit: PERCENT.

- [Accuracy (MIM)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-long-tailed-ir-10-test.md?metric=Accuracy%20(MIM)>): Higher is better; unit: PERCENT.

- [Accuracy (CW)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-long-tailed-ir-10-test.md?metric=Accuracy%20(CW)>): Higher is better; unit: PERCENT.

- [Accuracy (AA)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-long-tailed-ir-10-test.md?metric=Accuracy%20(AA)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Clean) | Result date | Report paper |
| --- | --- | --- | --- |
| RoBal | 81.2 | Not recorded | 68fa6a8c1e209131cea28b65 |
| AT | 79.45 | Not recorded | 68fa6a8c1e209131cea28b65 |
| TRADES | 72.92 | Not recorded | 68fa6a8c1e209131cea28b65 |

### RoBal

Accuracy (Clean): 81.2. Result ID: 699ab8405698665ec446328a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b65.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b65.md>)

[Implementation](<https://github.com/wutong16/Adversarial_Long-Tail>)

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

### AT

Accuracy (Clean): 79.45. Result ID: 699ab8405698665ec4463288.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b65.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa665a1e209131cea0fbae.md>)

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

### TRADES

Accuracy (Clean): 72.92. Result ID: 699ab8405698665ec4463289.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b65.md>)

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

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

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