GitHub’s model for secret detection: Finding more secrets with less noise
The GitHub Blog published the article ‘GitHub’s model for secret detection: Finding more secrets with less noise’. The model uses a fine‑tuned ModernBERT classifier for context‑aware secret classification. The article describes GitHub secret scanning and its push‑protection and post‑push‑scanning modes. The model improves secret scanning by increasing weighted acceptance by 11.5 % and reducing median scan execution time by 86 %.· Graphiti 生成的实体摘要
关系变化
按生效时间- GitHub’s model for secret detection: Finding more secrets with less noiseUSESModernBERT classifier
The model uses a fine‑tuned ModernBERT classifier for context‑aware secret classification.
- GitHub’s model for secret detection: Finding more secrets with less noiseDESCRIBESGitHub Secret Protection
The article describes GitHub secret scanning and its push‑protection and post‑push‑scanning modes.
- GitHub’s model for secret detection: Finding more secrets with less noiseIMPROVEDGitHub Secret Protection
The model improves secret scanning by increasing weighted acceptance by 11.5 % and reducing median scan execution time by 86 %.
- GitHub BlogPUBLISHED ARTICLEGitHub’s model for secret detection: Finding more secrets with less noise
The GitHub Blog published the article ‘GitHub’s model for secret detection: Finding more secrets with less noise’.
关系是 Graphiti 从报道中提取的事实陈述，不是原文引述；失效时间表示后来的报道显示这条关系已不成立。