GURPREETKAURJETHRA/LLM-SECURITY
Securing LLM's Against Top 10 OWASP Large Language Model Vulnerabilities 2024
This project helps security professionals and developers understand and mitigate risks associated with Large Language Models (LLMs). It compiles articles, official guidance, and research papers focused on the OWASP Top 10 LLM Vulnerabilities, providing insights into prompt injection, data poisoning, and other security threats. Anyone building, deploying, or securing applications that use LLMs would find this a valuable resource for staying informed on AI security.
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Use this if you need a curated collection of resources to understand and defend against security vulnerabilities in Large Language Model applications.
Not ideal if you are looking for an automated tool or code library to directly implement LLM security measures.
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MIT
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Last pushed
May 10, 2024
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