{"data":{"id":"c997c9e6-91ed-438b-a280-e46bbc1f272b","title":"Efficient Vector-Multiplicative Privacy-Preserving Retrieval-Augmented Generation for Large Language Models","summary":"This paper introduces CipheRAG, a system that helps large language models (LLMs) safely use external knowledge sources while protecting sensitive data. The system balances two competing needs: keeping data private while still retrieving information quickly, which existing approaches struggle to do because cryptography-based methods are slow while faster methods leak more information.","solution":"N/A -- no mitigation discussed in source.","labels":["security","privacy"],"sourceUrl":"http://ieeexplore.ieee.org/document/11419667","publishedAt":"2026-03-03T13:18:50.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-03-03T13:18:50.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality"],"aiComponentTargeted":"rag","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":"peer_reviewed","atlasIds":null}}