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Repo for the AI Security Researcher GPT. Feel free to contribute, help needed in creating the knowledge base and optimizing file sizes.

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knowlelge/Security
knowlelge/Security
 
 
LICENSE
LICENSE
 
 
OWASP top 10 for LLMs.txt
OWASP top 10 for LLMs.txt
 
 
README.md
README.md
 
 
a checklist for LLM AI security and governance .pdf
a checklist for LLM AI security and governance .pdf
 
 
a primer for developers on AI and LLM security.pdf
a primer for developers on AI and LLM security.pdf
 
 
a taxonomy and terminology of attacks and mitigations for Adversarial Machine Learning by NIST.pdf
a taxonomy and terminology of attacks and mitigations for Adversarial Machine Learning by NIST.pdf
 
 
attacks on machine learning models.pdf
attacks on machine learning models.pdf
 
 
instruction-prompt.txt
instruction-prompt.txt
 
 
research on attack techniques for LLM.pdf
research on attack techniques for LLM.pdf
 
 
research on exploiting programmatic behavior of LLMs.pdf
research on exploiting programmatic behavior of LLMs.pdf
 
 
research on neural toxic degeneration in language models.pdf
research on neural toxic degeneration in language models.pdf
 
 
research on prompt Injection attack against LLM-integrated Applications.pdf
research on prompt Injection attack against LLM-integrated Applications.pdf
 
 
research studying if a llm can change user preference adversarially.pdf
research studying if a llm can change user preference adversarially.pdf
 
 
the owasp top 10 for llms.pdf
the owasp top 10 for llms.pdf
 
 

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LLM Security Oracle

This repo is for the GPT "LLM Security Oracle". The goal of this project is to create a community-curated list of leading industry research that can be queried through the LLM Security Oracle.

Feel free to create a PR if you would like research to be added or have suggestions for the prompt instructions. Prompt Engineering feedback is welcomed!

I need help with the following:

  1. Prompt Engineering of the GPT's instruction
  2. Curating the documents so that the oracle can analyze industry-leading research related to LLMs
  3. Document Optimizations - The more documents, the slower it responds. (good prompt engineering might be able to short-circuit some of this.
  4. Analyzing PDFs for indirect prompt injections

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Repo for the AI Security Researcher GPT. Feel free to contribute, help needed in creating the knowledge base and optimizing file sizes.

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