# Adversarial Robustness on GTSRB (test)

Source: [Adversarial Robustness on GTSRB (test)](<https://www.sota2.com/research/sota/adversarial-robustness-on-gtsrb-test>)

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

Data updated: 2026-02-26T05:44:08.880Z

Evaluation of model adversarial robustness on the test set of the German Traffic Sign Recognition Benchmark (GTSRB), reporting accuracy against FGSM and PGD 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 | Adversarial Robustness |
| Dataset (including any stated split) | GTSRB (test) |
| Metric | FGSM Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 18 of 18 |
| 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

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

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

## Recorded results

| Method | FGSM Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| FGSM-Neuro-Symbolic | 74 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| Puzzle-Mix | 67.9 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| PGD-Neuro-Symbolic | 65.75 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| DeepAugment | 65.1 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| FGSM-Neuro-Symbolic | 63.1 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| CutMix | 62.6 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| AugMix | 61.7 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| RVT-S\* | 51.2 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| RVT-S | 46.1 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| RVT-Ti\* | 38.9 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| RVT-Ti | 31.5 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| T2T-ViT-t-14 | 21.7 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| PVT-Small | 21.4 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| TNT-S | 21.2 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| Swin-T | 20.2 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| TNT-T | 10.9 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| PVT-Tiny | 10.8 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |
| T2T-ViT-t-10 | 10.2 | Not recorded | 69705da0e25ad2fa9d1ed2d1 |

### FGSM-Neuro-Symbolic

FGSM Accuracy: 74. Result ID: 69992e615698665ec496df95.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

Recorded evaluation configuration: {"epsilon (ε)":0.5,"Data Augmentation":"None"}. This record does not assert independent reproduction.

### Puzzle-Mix

FGSM Accuracy: 67.9. Result ID: 69992e615698665ec496df91.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68f91e209131cea1f6ad.md>)

Recorded evaluation configuration: {"Data Augmentation":"Yes"}. This record does not assert independent reproduction.

### PGD-Neuro-Symbolic

FGSM Accuracy: 65.75. Result ID: 69992e615698665ec496df96.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

Recorded evaluation configuration: {"epsilon (ε)":0.03,"Data Augmentation":"None"}. This record does not assert independent reproduction.

### DeepAugment

FGSM Accuracy: 65.1. Result ID: 69992e615698665ec496df8e.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a751e209131cea28405.md>)

[Implementation](<https://github.com/hendrycks/imagenet-r>)

Recorded evaluation configuration: {"Data Augmentation":"Yes"}. This record does not assert independent reproduction.

### FGSM-Neuro-Symbolic

FGSM Accuracy: 63.1. Result ID: 69992e615698665ec496df94.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

Recorded evaluation configuration: {"epsilon (ε)":0.03,"Data Augmentation":"None"}. This record does not assert independent reproduction.

### CutMix

FGSM Accuracy: 62.6. Result ID: 69992e615698665ec496df8f.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa663d1e209131cea0f1ce.md>)

[Implementation](<https://github.com/clovaai/CutMix-PyTorch>)

Recorded evaluation configuration: {"Data Augmentation":"Yes"}. This record does not assert independent reproduction.

### AugMix

FGSM Accuracy: 61.7. Result ID: 69992e615698665ec496df90.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67041e209131cea13ccb.md>)

[Implementation](<https://github.com/google-research/augmix>)

Recorded evaluation configuration: {"Data Augmentation":"Yes"}. This record does not assert independent reproduction.

### RVT-S\*

FGSM Accuracy: 51.2. Result ID: 69992e615698665ec496df93.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c961e209131cea34ab0.md>)

Recorded evaluation configuration: {"Data Augmentation":"Yes"}. This record does not assert independent reproduction.

### RVT-S

FGSM Accuracy: 46.1. Result ID: 69992e615698665ec496df8d.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c961e209131cea34ab0.md>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### RVT-Ti\*

FGSM Accuracy: 38.9. Result ID: 69992e615698665ec496df92.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c961e209131cea34ab0.md>)

Recorded evaluation configuration: {"Data Augmentation":"Yes"}. This record does not assert independent reproduction.

### RVT-Ti

FGSM Accuracy: 31.5. Result ID: 69992e615698665ec496df88.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c961e209131cea34ab0.md>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### T2T-ViT-t-14

FGSM Accuracy: 21.7. Result ID: 69992e615698665ec496df8c.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b4c1e209131cea2d67d.md>)

[Implementation](<https://github.com/yitu-opensource/T2T-ViT>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### PVT-Small

FGSM Accuracy: 21.4. Result ID: 69992e615698665ec496df8a.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a901e209131cea28e2b.md>)

[Implementation](<https://github.com/whai362/PVT>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### TNT-S

FGSM Accuracy: 21.2. Result ID: 69992e615698665ec496df8b.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b1b1e209131cea2c43f.md>)

[Implementation](<https://github.com/huawei-noah/CV-Backbones>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### Swin-T

FGSM Accuracy: 20.2. Result ID: 69992e615698665ec496df89.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8c1e209131cea28b62.md>)

[Implementation](<https://github.com/microsoft/Swin-Transformer>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### TNT-T

FGSM Accuracy: 10.9. Result ID: 69992e615698665ec496df86.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b1b1e209131cea2c43f.md>)

[Implementation](<https://github.com/huawei-noah/CV-Backbones>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### PVT-Tiny

FGSM Accuracy: 10.8. Result ID: 69992e615698665ec496df85.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a901e209131cea28e2b.md>)

[Implementation](<https://github.com/whai362/PVT>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

### T2T-ViT-t-10

FGSM Accuracy: 10.2. Result ID: 69992e615698665ec496df87.

[Reporting paper](<https://www.sota2.com/research/paper/69705da0e25ad2fa9d1ed2d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b4c1e209131cea2d67d.md>)

[Implementation](<https://github.com/yitu-opensource/T2T-ViT>)

Recorded evaluation configuration: {"Data Augmentation":"None"}. This record does not assert independent reproduction.

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