# Image Classification on CIFAR-10 (test) (Accuracy at Epsilon Levels)

Source: [Image Classification on CIFAR-10 (test) (Accuracy at Epsilon Levels)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-accuracy-at-epsilon-levels>)

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

Data updated: 2026-02-26T05:34:34.617Z

Image Classification evaluation on the CIFAR-10 test set, reporting accuracy under specific perturbation or uncertainty levels defined by epsilon (e.g., ε=0.2 and ε=0.3).

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 (test) |
| Metric | Accuracy (ε=0.2) |
| Unit | PERCENT |
| 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

- [Accuracy (ε=0.2)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-accuracy-at-epsilon-levels.md?metric=Accuracy%20(%CE%B5%3D0.2)>): Higher is better; unit: PERCENT.

- [Accuracy (ε=0.3)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-accuracy-at-epsilon-levels.md?metric=Accuracy%20(%CE%B5%3D0.3)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (ε=0.2) | Result date | Report paper |
| --- | --- | --- | --- |
| CORES2 | 95.18 | Not recorded | 68fa698f1e209131cea22a5b |
| SELF | 93.75 | Not recorded | 68fa698f1e209131cea22a5b |
| NLNL | 93.35 | Not recorded | 68fa698f1e209131cea22a5b |
| MAE | 89.67 | Not recorded | 68fa698f1e209131cea22a5b |
| Forward T | 89.42 | Not recorded | 68fa698f1e209131cea22a5b |
| Lq | 89.33 | Not recorded | 68fa698f1e209131cea22a5b |
| LDMI | 89.04 | Not recorded | 68fa698f1e209131cea22a5b |
| Cross Entropy | 88.59 | Not recorded | 68fa698f1e209131cea22a5b |

### CORES2

Accuracy (ε=0.2): 95.18. Result ID: 698db6708b517eb433234431.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Implementation](<https://github.com/UCSC-REAL/cores>)

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

### SELF

Accuracy (ε=0.2): 93.75. Result ID: 698db6708b517eb433234430.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66761e209131cea10452.md>)

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

### NLNL

Accuracy (ε=0.2): 93.35. Result ID: 698db6708b517eb43323442f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66371e209131cea0edb3.md>)

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

### MAE

Accuracy (ε=0.2): 89.67. Result ID: 698db6708b517eb43323442b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63e81e209131cea0158c.md>)

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

### Forward T

Accuracy (ε=0.2): 89.42. Result ID: 698db6708b517eb43323442c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63321e209131ce9fd4c8.md>)

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

### Lq

Accuracy (ε=0.2): 89.33. Result ID: 698db6708b517eb43323442d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa651f1e209131cea088eb.md>)

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

### LDMI

Accuracy (ε=0.2): 89.04. Result ID: 698db6708b517eb43323442e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea1159a.md>)

[Implementation](<https://github.com/Newbeeer/L_DMI>)

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

### Cross Entropy

Accuracy (ε=0.2): 88.59. Result ID: 698db6708b517eb43323442a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa698f1e209131cea22a5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa631e1e209131ce9fcf46.md>)

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

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