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 37 (0 this week)
Watchers 3 (0 this week)
Forks 8
License mit
Ranking

RepositoryStats indexes 618,350 repositories, of these sinanw/llm-security-prompt-injection is ranked #552,446 (11th percentile) for total stargazers, and #434,053 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,585/18,432.

sinanw/llm-security-prompt-injection is also tagged with popular topics, for these it's ranked: cybersecurity (#923/1025)

Star History

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Watcher History

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Recent Commit History

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

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Issue History

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Languages

The only known language in this repository is Jupyter Notebook

Jupyter NotebookJupyter Notebook

updated: 2025-02-22 @ 12:37am, id: 721855992 / R_kgDOKwal-A