# Fuzzy Detection on Malicious Concept Dataset (Unseen)

Source: [Fuzzy Detection on Malicious Concept Dataset (Unseen)](<https://www.sota2.com/research/sota/fuzzy-detection-on-malicious-concept-dataset-unseen>)

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

Data updated: 2026-05-01T07:12:58.156Z

Evaluation of Fuzzy Detection performance on the Malicious Concept Dataset (Unseen), reporting Accuracy, False Positive Rate (FPR), False Negative Rate (FNR), F1-score, and Fuzzy Detection Score (FDS) variants.

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 | Fuzzy Detection |
| Dataset (including any stated split) | Malicious Concept Dataset (Unseen) |
| Metric | Accuracy |
| Unit | PERCENT |
| 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

- [Accuracy](<https://www.sota2.com/research/sota/fuzzy-detection-on-malicious-concept-dataset-unseen.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [FPR](<https://www.sota2.com/research/sota/fuzzy-detection-on-malicious-concept-dataset-unseen.md?metric=FPR>): Lower is better; unit: PERCENT.

- [FNR](<https://www.sota2.com/research/sota/fuzzy-detection-on-malicious-concept-dataset-unseen.md?metric=FNR>): Lower is better; unit: PERCENT.

- [F1-score](<https://www.sota2.com/research/sota/fuzzy-detection-on-malicious-concept-dataset-unseen.md?metric=F1-score>): Higher is better; unit: PERCENT.

- [FDS (CC ✓)](<https://www.sota2.com/research/sota/fuzzy-detection-on-malicious-concept-dataset-unseen.md?metric=FDS%20(CC%20%E2%9C%93)>): Higher is better; unit: PERCENT.

- [FDS (CC ✗)](<https://www.sota2.com/research/sota/fuzzy-detection-on-malicious-concept-dataset-unseen.md?metric=FDS%20(CC%20%E2%9C%97)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Concept Generation (Unseen) | 72.01 | Not recorded | 68fa76ed1e209131cea6ffb7 |
| Concept QuickLook (Unseen) | 70.51 | Not recorded | 68fa76ed1e209131cea6ffb7 |
| NNS (Unseen) | 63.36 | Not recorded | 68fa76ed1e209131cea6ffb7 |

### Concept Generation (Unseen)

Accuracy: 72.01. Result ID: 69f451b147f34ce924d9c0a1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76ed1e209131cea6ffb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c391e209131cea32e4a.md>)

[Implementation](<https://github.com/CompVis/latent-diffusion>)

Recorded evaluation configuration: {"Time cost":"32.0 s (±2)","Scalability":"No"}. This record does not assert independent reproduction.

### Concept QuickLook (Unseen)

Accuracy: 70.51. Result ID: 69f451b147f34ce924d9c0a3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76ed1e209131cea6ffb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76ed1e209131cea6ffb7.md>)

Recorded evaluation configuration: {"Time cost":"1.5 s (±0.2)","Scalability":"Yes"}. This record does not assert independent reproduction.

### NNS (Unseen)

Accuracy: 63.36. Result ID: 69f451b147f34ce924d9c0a2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76ed1e209131cea6ffb7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64671e209131cea046c9.md>)

Recorded evaluation configuration: {"Time cost":"1.0 s (±0.1)","Scalability":"No"}. This record does not assert independent reproduction.

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