AI RESEARCH
VectorSmuggle: Steganographic Exfiltration in Embedding Stores and a Cryptographic Provenance Defense
arXiv CS.LG
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ArXi:2605.13764v1 Announce Type: cross Modern retrieval-augmented generation (RAG) systems convert sensitive content into high-dimensional embeddings and them in vector databases that treat the resulting numerical artifacts as opaque. Major vector- products do not provide native controls for embedding integrity, ingestion-time distributional anomaly detection, or cryptographic provenance attestation.