{"data":{"id":"00d8364e-f1da-453f-b99b-597eade452ee","title":"CoRTeC: A Differentially Private Release for Synthetic Tabular Data, Decodable by Any Generator","summary":"CoRTeC releases synthetic tabular data under differential privacy by spending the privacy budget once on a small file of noisy counts, which anyone can decode into synthetic rows at no further privacy cost. A maximum-entropy decoder works without a language model, and at epsilon = 2 it trains classifiers to within 0.02 AUC of a real sample of the same size on the Adult dataset. The strongest membership attack stays far below the bound the budget allows.","solution":"N/A -- no mitigation discussed in source.","labels":["research","privacy"],"sourceUrl":"https://arxiv.org/abs/2611.06342v1","publishedAt":"2026-11-04T11:02:52.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["membership_inference"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["Adult dataset","NHANES","bank marketing dataset"],"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":"2026-11-04T11:02:52.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"preprint","atlasIds":["AML.T0024.000"]}}