{"data":{"id":"c997c9e6-91ed-438b-a280-e46bbc1f272b","title":"Efficient Vector-Multiplicative Privacy-Preserving Retrieval-Augmented Generation for Large Language Models","summary":"CipheRAG is a privacy-preserving retrieval-augmented generation framework for large language models that aims to balance knowledge confidentiality with retrieval efficiency. It combines a searchable inner product functional encryption mechanism, enhanced with asymmetric locality-sensitive hashing, with a decryption-enabled attention mechanism that feeds decrypted knowledge into the generation process. The authors report up to 35x faster generation and 15x faster QKV computation than FHE- and OT-based baselines.","solution":"N/A -- no mitigation discussed in source.","labels":["research","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,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-03-03T13:18:50.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"rag","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}