{"data":{"id":"cb1afa39-b152-4d14-94b1-0d302738739d","title":"Contextual Candour: Role-Aware Graduated Disclosure for LLMs over Mixed-Sensitivity Contexts","summary":"Researchers introduce graduated disclosure, an access-control approach in which an LLM calibrates the level of detail in its response to the user's authorisation instead of making a binary answer-or-refuse decision. They model it as a disclosure-aware generation problem and optimise it with a reward that penalises unauthorised factual leakage, including paraphrases and approximations. On enterprise and clinical benchmarks, the method substantially reduces leakage while preserving correctness and utility compared with prompt-based, gating and supervised baselines.","solution":"N/A -- no mitigation discussed in source.","labels":["security","privacy","research"],"sourceUrl":"https://arxiv.org/abs/2610.28067v1","publishedAt":"2026-10-20T11:50:25.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["data_extraction"],"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":"2026-10-20T11:50:25.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"preprint","atlasIds":null}}