{"data":{"id":"42f95451-abac-4528-8fac-0c957b659a73","title":"SDkA: Synthetic Data Integrated k-Anonymity Model for Data Sharing With Improved Utility","summary":"SDkA is a new privacy protection method that combines synthetic data (artificially generated data that mimics real data patterns) with k-anonymity (a technique that makes individuals unidentifiable by ensuring each person's data looks like at least k other people's data). The method uses a conditional generative adversarial network (a type of AI that learns to create realistic synthetic data) to improve data quality and quantity while keeping data useful, and adds selective generalization to k-anonymity to avoid over-hiding information.","solution":"N/A -- no mitigation discussed in source.","labels":["security","privacy"],"sourceUrl":"http://ieeexplore.ieee.org/document/11399554","publishedAt":"2026-02-18T13:17:36.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.82,"researchCategory":"peer_reviewed","atlasIds":null}}