Encoded but Exposed: Language Embeddings can Reveal More Than They Should in Recommender Systems.

arXiv:2610.21713v1 Announce Type: cross Abstract: Language embeddings are increasingly used in recommenders to represent item content, but their privacy risks remain poorly understood. We study whether item embeddings can reveal item identities when an adversa