Survey on pretraining data exposure, data contamination, and security in LLMs

Core summary

One sentence to understand this update

A new arXiv paper surveys the critical issues of pretraining data exposure, membership inference, data contamination, and their security implications in Large Language Models.

Impact & opportunity

What this could mean

Builders working with LLMs must be aware of these security and privacy risks and consider strategies for mitigating data exposure in their applications.