most citedLet LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement

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cs.CR2026

Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks

Yu-Che Tsai, Hsiang Hsiao, Kuan-Yu Chen +1

Text embeddings enable numerous NLP applications but face severe privacy risks from embedding inversion attacks, which can expose sensitive attributes or reconstruct raw text. Exis…