{"data":{"id":"a7f956ab-806f-478b-82e1-9935d41460e4","title":"ClusterGuard: Secure Clustered Aggregation for Federated Learning With Robustness","summary":"ClusterGuard is a secure clustered aggregation scheme for federated learning that aims to protect privacy and resist poisoning attacks. It uses a Verifiable Random Function for fair client clustering, a key-homomorphic masking mechanism with verifiable secret sharing for aggregation within clusters, and a dual filter based on cosine similarity and norm. Experiments on standard datasets report over 2x efficiency gains over advanced secure aggregation methods, and with 20% malicious clients the model keeps accuracy comparable to the original.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11424017","publishedAt":"2026-03-06T13:18:44.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_poisoning"],"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":"2026-03-06T13:18:44.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}