highflame/palisade-scan-results
Palisade Model Security Scans This dataset contains security scan results for popular ML models, generated by Palisade. Dataset Structure data/train.parquet: Leaderboard table with security metrics sarif/: SARIF 2.1.0 scan reports organized by org/model-name Metrics Security Score: Weighted sum of findings (lower is better) Risk Level: safe, low, medium, high, critical Severity Counts: critical, high, medium, low breakdowns Usage… See the full description on the dataset page: https://huggingface.co/datasets/highflame/palisade-scan-results.
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Palisade Model Security Scans
This dataset contains security scan results for popular ML models, generated by Palisade.
Dataset Structure
data/train.parquet: Leaderboard table with security metricssarif/: SARIF 2.1.0 scan reports organized by org/model-name
Metrics
- Security Score: Weighted sum of findings (lower is better)
- Risk Level: safe, low, medium, high, critical
- Severity Counts: critical, high, medium, low breakdowns
Usage
from datasets import load_dataset
ds = load_dataset("palisade-security/model-scans", split="train")
df = ds.to_pandas()
# Get safest models
safe_models = df[df['risk_level'] == 'safe'].sort_values('security_score')License
Public Domain (CC0)
