{"data":{"id":"96870196-dd49-472c-9660-8a516257a3cd","title":"GHOST: GAN-Harnessed Optimization for Strategic Backdoor Persistence With Future Update Anticipation in Non-IID Federated Learning","summary":"GHOST is a two-phase backdoor attack on federated learning that pairs a dual-discriminator GAN with multi-round anticipation. The GAN generates synthetic samples aligned with the global data distribution, which the attacker uses to simulate future FL rounds and optimize a poisoning update for long-term survival. Experiments on several vision datasets show more durable backdoor persistence than prior methods, including under norm-bounding and FoolsGold, with competitive clean accuracy.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11740694","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"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":"peer_reviewed","atlasIds":null}}