llm-redactor-leak-benchmark

简介

LLM-Redactor Leak Benchmark A benchmark of 1,300 synthetic prompts with 4,014 ground-truth annotations spanning four workload classes, designed to evaluate privacy-preserving techniques for outbound LLM requests. Released alongside the paper: LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM Requests Justice Owusu Agyemang, Jerry John Kponyo, Elliot Amponsah, Godfred Manu Addo Boakye, Kwame Opuni-Boachie Obour Agyekum arXiv:2604.12064… See the full description on the dataset page: https://huggingface.co/datasets/jayluxferro/llm-redactor-leak-benchmark.