# model-hub
標記為「model-hub」的 10 篇文章
Malicious Adapter Injection
How attackers craft LoRA adapters containing backdoors, distribute poisoned adapters through model hubs, and exploit adapter stacking to compromise model safety -- techniques, detection challenges, and real-world supply chain risks.
Hugging Face Hub Security
Attack surface analysis of Hugging Face Hub: malicious model uploads, pickle deserialization exploits, model card manipulation, trust signal limitations, gated model bypass, and community-driven trust exploitation.
Model Hub Supply Chain Attack
Attacking the ML model supply chain through hub repositories like Hugging Face, including typosquatting, model poisoning, and repository manipulation techniques.
HuggingFace Spaces Security Testing
End-to-end walkthrough for security testing HuggingFace Spaces applications: Space enumeration, Gradio/Streamlit exploitation, API endpoint testing, secret management review, and model access control assessment.
Hugging Face Hub Red Team Walkthrough
Walkthrough for assessing AI models on Hugging Face Hub: model security assessment, scanning for malicious models, Transformers library testing, and Spaces application evaluation.
Malicious Adapter Injection
How attackers craft LoRA adapters containing backdoors, distribute poisoned adapters through model hubs, and exploit adapter stacking to compromise model safety -- techniques, detection challenges, and real-world supply chain risks.
Hugging Face Hub 安全
Hugging Face Hub 之攻擊面分析：惡意模型上傳、pickle 反序列化 exploit、模型卡操弄、信任訊號限制、gated 模型繞過，與社群驅動之信任利用。
模型 Hub Supply Chain 攻擊
攻擊ing the ML model supply chain through hub repositories like Hugging Face, including typosquatting, model poisoning, and repository manipulation techniques.
HuggingFace Spaces 安全 Testing
End-to-end walkthrough for security testing HuggingFace Spaces applications: Space enumeration, Gradio/Streamlit exploitation, API endpoint testing, secret management review, and model access control assessment.
Hugging Face Hub 紅隊 導覽
導覽 for assessing AI models on Hugging Face Hub: model security assessment, scanning for malicious models, Transformers library testing, and Spaces application evaluation.