# model-deep-dives
標記為「model-deep-dives」的 16 篇文章
Claude Architecture Security Analysis
Deep security analysis of Claude's architecture including extended thinking, tool use, and safety mechanisms.
DeepSeek-R1 Security Analysis
Security analysis of DeepSeek-R1's reasoning capabilities and MoE architecture vulnerabilities.
Gemini Architecture Security Analysis
Deep security analysis of Gemini's native multimodal architecture and long-context capabilities.
GPT-4 Architecture Security Analysis
Deep security analysis of GPT-4's architecture including function calling, vision, and safety layers.
Llama 4 Security Analysis
Security analysis of Llama 4 including open-weight attack surface and fine-tuning vulnerabilities.
Mixtral MoE Architecture Exploitation
Exploiting Mixture-of-Experts routing in Mixtral for selective expert activation attacks.
Tokenizer Vulnerabilities Across Models
Comprehensive analysis of tokenizer vulnerabilities across major model families.
Transformer Attention Mechanism Attacks
Attacks targeting transformer attention mechanisms including attention hijacking and gradient-based manipulation.
Claude Architecture 安全 Analysis
Deep security analysis of Claude's architecture including extended thinking, tool use, and safety mechanisms.
DeepSeek-R1 安全 Analysis
Security analysis of DeepSeek-R1's reasoning capabilities and MoE architecture vulnerabilities.
Gemini Architecture 安全 Analysis
Deep security analysis of Gemini's native multimodal architecture and long-context capabilities.
GPT-4 Architecture 安全 Analysis
Deep security analysis of GPT-4's architecture including function calling, vision, and safety layers.
Llama 4 安全 Analysis
安全 analysis of Llama 4 including open-weight attack surface and fine-tuning vulnerabilities.
Mixtral MoE Architecture 利用ation
利用ing Mixture-of-專家s routing in Mixtral for selective expert activation attacks.
Tokenizer Vulnerabilities Across 模型s
Comprehensive analysis of tokenizer vulnerabilities across major model families.
Transformer Attention Mechanism 攻擊s
攻擊s targeting transformer attention mechanisms including attention hijacking and gradient-based manipulation.