2026
Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization
AAAI 2026technical
While text embeddings enable efficient semantic processing in LLMs, they remain vulnerable to inversion attacks that reconstruct sensitive original text. However, current defense methods typically treat text embeddings from the feature level independently, ignoring the exploitation of the mutual rel