{"data":{"id":"14a809a2-3e5c-46b3-8034-96f3ac779928","title":"Secure and Efficient Model Training Framework for Multiuser Semantic Communications via Over-the-Air Mixup","summary":"Researchers propose SIMix, a training framework for multiuser semantic communication that combines Over-the-Air Mixup (OAM) with label-aware user grouping. The OAM mixes users' semantic features over wireless channels to obfuscate sensitive data and cut communication overhead, while an extended max-clique algorithm partitions users to reduce model inversion attack success. On CIFAR-10 and Tiny ImageNet, the method reduces communication overhead by up to 25%, reaches 17.58 dB PSNR under inversion attack (a 20.98 dB reduction), and lowers label inference attack success by 13.44%.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11406198","publishedAt":"2026-02-23T13:19:07.000Z","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":"2026-02-23T13:19:07.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}