# Image Classification Unlearning on CIFAR-10 50% Random Forgetting (test)

Source: [Image Classification Unlearning on CIFAR-10 50% Random Forgetting (test)](<https://www.sota2.com/research/sota/image-classification-unlearning-on-cifar-10-50-percent-random-forgetting-test>)

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

Data updated: 2026-04-13T09:47:27.098Z

Evaluation of Machine Unlearning effectiveness on the CIFAR-10 dataset after randomly forgetting 50% of the training data, reporting results on the standard test set. Metrics include Accuracy and Performance Gap.

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 Unlearning |
| Dataset (including any stated split) | CIFAR-10 50% Random Forgetting (test) |
| Metric | Accuracy |
| 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](<https://www.sota2.com/research/sota/image-classification-unlearning-on-cifar-10-50-percent-random-forgetting-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Performance Gap](<https://www.sota2.com/research/sota/image-classification-unlearning-on-cifar-10-50-percent-random-forgetting-test.md?metric=Performance%20Gap>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SCRUB | 84.8 | Not recorded | 69dc789f7d0172140ec78bd0 |
| FT | 84.1 | Not recorded | 69dc789f7d0172140ec78bd0 |
| IEU w/GA | 82.9 | Not recorded | 69dc789f7d0172140ec78bd0 |
| Retraining | 79 | Not recorded | 69dc789f7d0172140ec78bd0 |
| IEU w/Noisy | 78.9 | Not recorded | 69dc789f7d0172140ec78bd0 |
| IEU w/GA+Noisy | 78.7 | Not recorded | 69dc789f7d0172140ec78bd0 |
| RL | 77.6 | Not recorded | 69dc789f7d0172140ec78bd0 |
| SALUN | 61.6 | Not recorded | 69dc789f7d0172140ec78bd0 |

### SCRUB

Accuracy: 84.8. Result ID: 69dcbb9847f34ce924c41221.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71011e209131cea4e7b9.md>)

[Implementation](<https://github.com/Meghdad92/SCRUB>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

### FT

Accuracy: 84.1. Result ID: 69dcbb9847f34ce924c4121f.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

### IEU w/GA

Accuracy: 82.9. Result ID: 69dcbb9847f34ce924c41223.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

### Retraining

Accuracy: 79. Result ID: 69dcbb9847f34ce924c4121e.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

### IEU w/Noisy

Accuracy: 78.9. Result ID: 69dcbb9847f34ce924c41224.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

### IEU w/GA+Noisy

Accuracy: 78.7. Result ID: 69dcbb9847f34ce924c41225.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

### RL

Accuracy: 77.6. Result ID: 69dcbb9847f34ce924c41220.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68881e209131cea1cbe9.md>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

### SALUN

Accuracy: 61.6. Result ID: 69dcbb9847f34ce924c41222.

[Reporting paper](<https://www.sota2.com/research/paper/69dc789f7d0172140ec78bd0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72cd1e209131cea5888f.md>)

Recorded evaluation configuration: {"Backbone":"ViT"}. This record does not assert independent reproduction.

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