English

Are Large Pre-Trained Language Models Leaking Your Personal Information?

Computation and Language 2022-10-21 v2 Artificial Intelligence Cryptography and Security

Abstract

Are Large Pre-Trained Language Models Leaking Your Personal Information? In this paper, we analyze whether Pre-Trained Language Models (PLMs) are prone to leaking personal information. Specifically, we query PLMs for email addresses with contexts of the email address or prompts containing the owner's name. We find that PLMs do leak personal information due to memorization. However, since the models are weak at association, the risk of specific personal information being extracted by attackers is low. We hope this work could help the community to better understand the privacy risk of PLMs and bring new insights to make PLMs safe.

Keywords

Cite

@article{arxiv.2205.12628,
  title  = {Are Large Pre-Trained Language Models Leaking Your Personal Information?},
  author = {Jie Huang and Hanyin Shao and Kevin Chen-Chuan Chang},
  journal= {arXiv preprint arXiv:2205.12628},
  year   = {2022}
}

Comments

Accepted to Findings of EMNLP 2022

R2 v1 2026-06-24T11:28:08.326Z