LLMs reflect users' privacy preferences in access control decisions with up to 86% agreement and can promote safer behavior, but personalization trades off higher individual match for potentially less secure results when users over-permission.
Lmn: A tool for generating machine enforceable policies from natural language access control rules using llms
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
MuSimA creates customizable synthetic ABAC datasets from multi-modal user inputs including JSON specifications and LLM-interpreted distribution sketches.
citing papers explorer
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Can LLMs Make (Personalized) Access Control Decisions?
LLMs reflect users' privacy preferences in access control decisions with up to 86% agreement and can promote safer behavior, but personalization trades off higher individual match for potentially less secure results when users over-permission.
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MuSimA: A Tool with Multi-modal Input for Generating Bespoke ABAC Datasets
MuSimA creates customizable synthetic ABAC datasets from multi-modal user inputs including JSON specifications and LLM-interpreted distribution sketches.