Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks

Antonios Tragoudaras, Theofanis Aslanidis, Emmanouil Georgios Lionis +2

Text data are often encoded as dense vectors, known as embeddings, which capture semantic, syntactic, contextual, and domain-specific information. These embeddings, widely adopted…