{"data":{"id":"adacfeec-7988-49d7-8984-f4595aa0626a","title":"FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation","summary":"FedGraph is a graph-based aggregation framework for federated LLM fine-tuning that defends against backdoor attacks. It models clients as nodes in a dynamically constructed graph, using the structural consistency of malicious updates to separate them from benign ones and suppress them during aggregation. Experiments report attack success rates below 10%, 95.5% average detection accuracy, and a 2.33% false positive rate.","solution":"FedGraph, a graph-based aggregation framework that suppresses malicious client contributions during aggregation.","labels":["research","security"],"sourceUrl":"https://arxiv.org/abs/2610.18430v1","publishedAt":"2026-10-13T14:08:49.000Z","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":"2026-10-13T14:08:49.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":"preprint","atlasIds":null}}