LLM-PBE: Assessing Data Privacy in Large Language Models
[Experiment, Analysis & Benchmark]

A toolkit crafted specifically for the systematic evaluation of data privacy risks in LLMs, incorporating diverse attack and defense strategies, and handling various data types and metrics.

WARNING: This paper contains model outputs that may be considered offensive.