# Infringement Model Detection on ImageNet

Source: [Infringement Model Detection on ImageNet](<https://www.sota2.com/research/sota/infringement-model-detection-on-imagenet>)

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

Data updated: 2026-02-26T06:05:55.085Z

Evaluation of Infringement Model Detection performance on the standard ImageNet dataset, reporting standard classification metrics (TP, FP, TN, FN, Accuracy).

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 | Infringement Model Detection |
| Dataset (including any stated split) | ImageNet |
| Metric | TP |
| Unit | SCALAR |
| 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

- [TP](<https://www.sota2.com/research/sota/infringement-model-detection-on-imagenet.md?metric=TP>): Higher is better; unit: SCALAR.

- [FP](<https://www.sota2.com/research/sota/infringement-model-detection-on-imagenet.md?metric=FP>): Lower is better; unit: SCALAR.

- [TN](<https://www.sota2.com/research/sota/infringement-model-detection-on-imagenet.md?metric=TN>): Higher is better; unit: SCALAR.

- [FN](<https://www.sota2.com/research/sota/infringement-model-detection-on-imagenet.md?metric=FN>): Lower is better; unit: SCALAR.

- [Acc](<https://www.sota2.com/research/sota/infringement-model-detection-on-imagenet.md?metric=Acc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | TP | Result date | Report paper |
| --- | --- | --- | --- |
| CoprGuard | 10 | Not recorded | 68fa77721e209131cea73257 |
| CoprGuard | 10 | Not recorded | 68fa77721e209131cea73257 |
| CoprGuard | 0 | Not recorded | 68fa77721e209131cea73257 |

### CoprGuard

TP: 10. Result ID: 69949e463a6c3148491e7208.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77721e209131cea73257.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77721e209131cea73257.md>)

[Implementation](<https://github.com/sccsok/CoprGuard.git>)

Recorded evaluation configuration: {"Model":"DDIM","Watermark Injection Ratio R":"10%/25%/50%/100%"}. This record does not assert independent reproduction.

### CoprGuard

TP: 10. Result ID: 69949e463a6c3148491e7209.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77721e209131cea73257.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77721e209131cea73257.md>)

[Implementation](<https://github.com/sccsok/CoprGuard.git>)

Recorded evaluation configuration: {"Model":"Classifier-Free","Watermark Injection Ratio R":"10%/25%/50%/100%"}. This record does not assert independent reproduction.

### CoprGuard

TP: 0. Result ID: 69949e463a6c3148491e7207.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77721e209131cea73257.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77721e209131cea73257.md>)

[Implementation](<https://github.com/sccsok/CoprGuard.git>)

Recorded evaluation configuration: {"Model":"Classifier-Free","Watermark Injection Ratio R":"0"}. This record does not assert independent reproduction.

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