prompt-injection-defenses
A centralized repository summarizing practical and proposed defenses against prompt injection attacks on large language models.
What is prompt-injection-defenses?
Prompt Injection Defenses is a curated knowledge repository that centralizes information on methods to protect large language models from prompt injection attacks. It synthesizes academic research, industry best practices, and tooling into a structured reference for developers and security practitioners. The project addresses the critical challenge of securing LLM applications against malicious inputs that attempt to hijack model behavior.
AI application developers, security researchers, and ML engineers who are building or securing systems that integrate large language models and need to understand and implement defenses against prompt injection.
It saves significant research time by aggregating fragmented information into one organized resource, provides a clear taxonomy of defense strategies, and highlights both practical tools and theoretical approaches, helping teams make informed security decisions.
Overview
Every practical and proposed defense against prompt injection.
Use Cases
Best For
- Researching state-of-the-art LLM security mitigations
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
