Yu-Hsiang Huang

Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries

This study investigates the privacy risks associated with text embeddings, focusing on the scenario where attackers cannot access the original embedding model. Contrary to previous research requiring direct model access, we explore a more realistic threat model by developing a transfer attack method…