{"data":{"id":"197ad5f6-2e53-4be4-9c28-0b6670f8d337","title":"TAFL: Trust-Aware Federated Learning for Anomalous Client Detection, Isolation, and Recovery","summary":"TAFL, a Trust-Aware Federated Learning framework, combines Subjective Logic and Multi-Agent Systems to detect anomalous clients, isolate them on probation, and reintegrate them after sustained recovery. The authors report 2–4% higher detection and 20–25% lower convergence latency on MNIST and CIFAR10 at 10–30% anomalous-client ratios, and 94.6–97.1% mean detection on CIFAR10 stress tests, with semantic-backdoor attack success reduced to 2.9%.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11740704","publishedAt":"2026-10-19T05:06:46.000Z","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":"2026-10-19T05:06:46.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}