sinanw / llm-security-prompt-injection

This project investigates the security of large language models by performing binary classification of a set of input prompts to discover malicious prompts. Several approaches have been analyzed using classical ML algorithms, a trained LLM model, and a fine-tuned LLM model.

Date Created 2023-11-21 (about a year ago)

Commits 40 (last one about a year ago)

Stargazers 36 (0 this week)

Watchers 3 (0 this week)

Forks 8

License mit

Ranking

RepositoryStats indexes 598,732 repositories, of these sinanw/llm-security-prompt-injection is ranked #543,012 (9th percentile) for total stargazers, and #428,941 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,231/17,660.

sinanw/llm-security-prompt-injection is also tagged with popular topics, for these it's ranked: cybersecurity (#884/973)

All Topics

llm-security cybersecurity llm-prompting prompt-injection transformers-models

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Recent Commit History

40 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-12-30 @ 05:15pm, id: 721855992 / R_kgDOKwal-A