# model-identification
標記為「model-identification」的 10 篇文章
Lab: Basic Model Fingerprinting
Learn to identify which LLM model powers an application through behavioral fingerprinting and response analysis.
Model Fingerprinting Basics
Identify which LLM model powers an application through behavioral fingerprinting techniques.
Model Identification Techniques
Fingerprinting models behind APIs using behavioral signatures, output analysis, and systematic probing to determine model family, size, and version.
Profiling AI Systems
Techniques for identifying the model, provider, version, safety configuration, and capabilities of a target AI system through behavioral analysis and fingerprinting.
Reconnaissance Workflow
Systematic reconnaissance workflow for AI red team engagements: system prompt extraction, model identification, capability mapping, API enumeration, and documenting the attack surface.
實驗室: Basic 模型 Fingerprinting
Learn to identify which LLM model powers an application through behavioral fingerprinting and response analysis.
模型 Fingerprinting Basics
Identify which LLM model powers an application through behavioral fingerprinting techniques.
模型辨識技術
以行為簽名、輸出分析與系統化探測對 API 後之模型進行指紋辨識，以判定模型家族、大小與版本。
剖析 AI 系統
透過行為分析與指紋識別，辨識目標 AI 系統的模型、供應商、版本、安全組態與能力。
偵察工作流程
為 AI 紅隊委任之系統化偵察工作流程：系統提示提取、模型辨識、能力繪製、API 列舉，與記錄攻擊面。