{"data":{"id":"e6ccea14-7cc6-436c-8eb6-cf4230c5b54c","title":"Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks","summary":"This systematic review categorizes Gradient Inversion Attacks (GIA) on Federated Learning (FL) into three types: optimization-based (OP-GIA), generation-based (GEN-GIA), and analytics-based (ANA-GIA). The authors evaluate each type's effectiveness, practicality and detectability. They find OP-GIA the most practical setting despite weak performance, while GEN-GIA and ANA-GIA are impractical due to dependencies and easy detection.","solution":"The authors offer a three-stage defense pipeline for users designing FL frameworks and protocols, but the source text does not give its stages.","labels":["security","privacy","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11311346","publishedAt":"2025-12-22T13:17:30.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["data_extraction"],"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":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"training_data","llmSpecific":false,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}