Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization

Tiantian Liu, Hongwei Yao, Feng Lin +3

Embeddings have become a cornerstone in the functionality of large language models (LLMs) due to their ability to transform text data into rich, dense numerical representations tha…