{"data":{"id":"a68ac68a-d3ee-41b7-a521-2269f9e4bf45","title":"Federated Contrastive Diffusion Prototypes for Robust Private Learning","summary":"Researchers introduce Federated Contrastive Diffusion Prototypes (Fed-CDP), a method that has the server turn aggregated client prototypes into synthesized features for robust federated learning. On CIFAR-100 under severe heterogeneity (α=0.1), Fed-CDP surpasses leading methods by nearly 5% in standard accuracy and over 9% in robust accuracy under Projected Gradient Descent attacks.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11534494","publishedAt":"2026-05-25T13:16:36.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"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":"2026-05-25T13:16:36.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.8,"researchCategory":"peer_reviewed","atlasIds":null}}