{"data":{"id":"08e85eb8-e1e3-40d2-a15b-0e36f877c802","title":"Systematic Evaluation of Dataset Watermarking for Intellectual Protection","summary":"This study reassesses nine dataset watermarking methods from 2025 under a unified experimental framework, splitting them into prediction-consistent and prediction-inconsistent groups. Most methods cause only minor overall accuracy loss (under 1%), but clean-label methods can reduce target-class accuracy by as much as 3.6%. Under a data mixture scenario, one optimization-based method and Style Transformation fail completely, and all methods except the domain watermark show utility drop, weakened verification, or poor robustness.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11596568","publishedAt":"2026-07-07T13:18:17.000Z","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":"2026-07-07T13:18:17.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}