# Adversarial Robustness Evaluation on ImageNet (Classification)

Source: [Adversarial Robustness Evaluation on ImageNet (Classification)](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification>)

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

Data updated: 2026-02-26T05:39:19.788Z

Evaluation of Image Classification performance on the standard ImageNet dataset, focusing specifically on various adversarial robustness metrics, including PGD, AA, and targeted attack accuracies.

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 | Classification |
| Dataset (including any stated split) | ImageNet |
| Metric | Clean Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 0 of 0 |
| 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/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Clean%20Accuracy>): Higher is better; unit: PERCENT.

- [Cross-Modal PGD Accuracy](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Cross-Modal%20PGD%20Accuracy>): Higher is better; unit: PERCENT.

- [Cross-Modal AA Accuracy](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Cross-Modal%20AA%20Accuracy>): Higher is better; unit: PERCENT.

- [Targeted PGD Accuracy](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Targeted%20PGD%20Accuracy>): Higher is better; unit: PERCENT.

- [Targeted DLR Accuracy](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Targeted%20DLR%20Accuracy>): Higher is better; unit: PERCENT.

- [Targeted AA Accuracy](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Targeted%20AA%20Accuracy>): Higher is better; unit: PERCENT.

- [Label-free PGD Accuracy](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Label-free%20PGD%20Accuracy>): Higher is better; unit: PERCENT.

- [Label-free AA Accuracy](<https://www.sota2.com/research/sota/adversarial-robustness-evaluation-on-imagenet-classification.md?metric=Label-free%20AA%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Clean Accuracy | Result date | Report paper |
| --- | --- | --- | --- |

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