# internals
標記為「internals」的 10 篇文章
LLM Internals
Deep technical exploration of LLM internal mechanisms for exploit development, covering activation analysis, alignment bypass primitives, and embedding space exploitation.
LLM Internals for Exploit Developers
Transformer architecture, tokenizer internals, logit pipelines, and trust boundaries from an offensive security perspective.
Representation Probing for Vulnerability Discovery
Probe model internal representations to discover exploitable features and latent vulnerability patterns.
Exploiting Attention Mechanisms
How the self-attention mechanism in transformers can be leveraged to steer model behavior, hijack information routing, and bypass safety instructions.
Embedding Space Attacks
Techniques for attacking the embedding layer of LLMs, including adversarial perturbations, embedding inversion, and semantic space manipulation.
LLM Internals & Exploit Primitives
An overview of large language model architecture from a security researcher's perspective, covering the key components that create exploitable attack surfaces.
大型語言模型內部結構
為利用開發深入探索大型語言模型內部機制的技術，涵蓋激活分析、對齊繞過原語與嵌入空間利用。
LLM Internals for 利用 Developers
Transformer architecture, tokenizer internals, logit pipelines, and trust boundaries from an offensive security perspective.
Representation Probing for 漏洞 Discovery
Probe model internal representations to discover exploitable features and latent vulnerability patterns.
大型語言模型內部與利用原語
從安全研究員視角出發的大型語言模型架構概覽，涵蓋建立可利用攻擊面的關鍵元件。