{"data":{"id":"35aa08b5-9e8b-40cc-83fb-67c606c7218e","title":"Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning","summary":"Researchers propose ByITFL and LoByITFL, two federated learning schemes that resist Byzantine users while keeping eavesdroppers from learning private user data. Both rely on a small representative dataset held by the federator and a discriminator function that mitigates corrupt users' contributions. ByITFL uses Lagrange coded computing and re-randomization to achieve perfect Information-Theoretic privacy at a significant communication cost, while LoByITFL reduces that cost but needs a Trusted Third Party for a one-time initialization before training.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"http://ieeexplore.ieee.org/document/11523583","publishedAt":"2026-05-18T13:18:18.000Z","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":"2026-05-18T13:18:18.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["confidentiality","integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}