Bypassing LLM Guardrails
LLMs are trained to understand language, which makes them vulnerable to 'translation attacks.' How Base64, Rot13, and Emoji encodings bypass safety filters.
5 docs tagged with "llm-security"
View all tagsIndirect prompt injection in RAG
Learn how Indirect Prompt Injection attacks turn your own data against your LLM, and how to secure RAG pipelines using static analysis.
Output Constraining Attacks: Bypassing Safety via Syntax Coercion
A deep mathematical and architectural analysis of how attackers force LLMs to bypass safety alignments by demanding strict structured output formats like JSON or XML.
Securing RAG Pipelines: Deep Document Sanitization and AST Analysis
Advanced architectural strategies for securing Retrieval-Augmented Generation (RAG) pipelines against Indirect Prompt Injection, zero-width Unicode steganography, and SSRF payloads.
The Anatomy of Roleplay Jailbreaks: Bypassing RLHF via Contextual Dissonance
An analysis of persona-adoption exploits (like the 'Grandma Exploit') that bypass Reinforcement Learning from Human Feedback (RLHF) guardrails, and how to enforce deterministic boundary control.