{"data":{"id":"31fe5829-c975-422f-86d6-f3cbeda56276","title":"DP2-RAG: An Efficient Full-Process Differential Privacy Implementation in Retrieval-Augmented Generation","summary":"DP2-RAG is a framework that adds end-to-end differential privacy to Retrieval-Augmented Generation, covering both the retrieval stage and the generation stage. It introduces Noise-Aware Retrieval with Correction (NARC), which enforces chunk-level DP with calibrated noise and ranking-bias correction, and the Dual Utility-Exponent Mechanism (DUEM), which provides token-level DP for generated surrogates. Evaluated on six benchmarks, it reduces privacy leakage by over 15% relative to strong baselines while keeping near-baseline Top-k retrieval accuracy.","solution":"N/A -- no mitigation discussed in source.","labels":["research","privacy"],"sourceUrl":"http://ieeexplore.ieee.org/document/11660753","publishedAt":"2026-08-20T13:16:16.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["data_extraction","pii_leakage"],"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":"2026-08-20T13:16:16.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"rag","llmSpecific":true,"classifierConfidence":0.93,"researchCategory":"peer_reviewed","atlasIds":null}}